CN103368874B - Channel estimation device and method and user equipment - Google Patents

Abstract

The embodiment of the invention provides a channel estimation device, a method and user equipment, wherein the channel estimation device comprises: the preprocessing unit is used for carrying out demultiplexing and despreading processing on the received signals by utilizing a pre-generated reference signal sequence so as to extract initial channel response information of resource particles occupied by the reference signals in the downlink transmission layer which are superposed together; the interference elimination unit is used for eliminating interference according to an interference elimination matrix for eliminating interlayer interference and the initial channel response information to obtain channel response information of the resource particles occupied by the reference signals after the interference elimination; and the channel estimation unit is used for estimating the channel response of the downlink transmission data at the resource particles based on the channel response information of the reference signals after the interference elimination at the resource particles. By the embodiment of the invention, the interlayer interference contained in the initial channel response of the reference signal can be eliminated, and the precision of channel estimation and the system performance are improved.

Description

Channel estimation device, method and user equipment

technical field

The present invention relates to the communication field, in particular to a channel estimation device, method and user equipment in an LTE-Advanced system.

Background technique

3GPP LTE-Advanced is currently the preferred technology for the fourth generation of mobile communications. To support downlink transmission with a peak rate of up to 1Gbps, the LTE-AdvancedR10 protocol uses beamforming and precoding technologies based on 8-port UE-specific reference signals (UE-specificReferenceSignals). At the receiving end of LTE-Advanced user equipment, in order to perform coherent detection, channel estimation techniques based on UE-specific reference signals are usually used to track and predict real-time changes in wireless transmission channels.

In the LTE-AdvancedR10 protocol, the design of up to 8-port UE-specific reference signals not only adopts traditional frequency division multiplexing (FDM, frequency division multiplexing) and time division multiplexing (TDM, time division multiplexing), but also adopts a two-dimensional orthogonal code (2D -OCC, two-dimensional orthogonal cover code) code division multiplexing technology (CDM, code division multiplexing), which realizes that up to 8 layers of downlink transmission data can be transmitted simultaneously using the same time-frequency resources.

At the receiving end of the LTE-Advanced user equipment, in order to obtain the channel response experienced by the data information of different transmission layers overlapped together, firstly, the received signal can be demultiplexed and despread to obtain the UE-specific signal. The initial channel response at the resource element (RE: resourceelement) is then interpolated based on the initial channel response at the resource element (RE: resourceelement) occupied by the UE-specific signal to obtain the channel response at the resource unit occupied by the data information.

However, the inventors found that the defect of the existing technology is that: the initial channel response of the UE-specific reference signal not only includes the estimation errors of other resource elements in the signal group, but also includes layers from other transmission layers overlapping with the target downlink transmission layer interfering. At present, traditional methods such as linear interpolation or classic minimum mean square error (MMSE, Minimum Mean Squared Error) filtering for channel response estimation at data information resource particles do not include the processing of the interference, so UE-specific reference signal initial channel response The included interlayer interference will inevitably lead to the reduction of channel estimation accuracy and the degradation of system performance.

Contents of the invention

Embodiments of the present invention provide a channel estimation device, method, and user equipment, aiming at eliminating interlayer interference contained in an initial channel response of a reference signal.

According to an aspect of an embodiment of the present invention, a channel estimation device is provided, and the channel estimation device includes:

The preprocessing unit uses the pre-generated reference signal sequence to perform demultiplexing and despreading processing on the received signal, so as to extract the initial channel response information at the resource element occupied by the reference signal in the superimposed downlink transmission layer;

The interference elimination unit performs interference elimination according to the interference elimination matrix used to eliminate interlayer interference and the initial channel response information, and obtains channel response information at the resource element occupied by the reference signal after interference elimination;

The channel estimation unit estimates the channel response at the resource element occupied by the downlink transmission data based on the channel response information at the resource element occupied by the reference signal after the interference has been eliminated.

According to still another aspect of the embodiments of the present invention, a channel estimation method is also provided, and the channel estimation method includes:

Using the pre-generated reference signal sequence to perform demultiplexing and despreading processing on the received signal, so as to extract the initial channel response information at the resource element occupied by the reference signal in the superimposed downlink transmission layer;

Perform interference cancellation according to the interference cancellation matrix for eliminating interlayer interference and the initial channel response information, and obtain channel response information at the resource element occupied by the reference signal after interference cancellation;

Estimating the channel response at the resource element occupied by the downlink transmission data based on the channel response information at the resource element occupied by the reference signal after the interference has been eliminated.

According to yet another aspect of the embodiments of the present invention, there is also provided user equipment, where the user equipment includes the aforementioned channel estimation apparatus.

The beneficial effect of the present invention is that: the interference cancellation matrix and the initial channel response information for eliminating interlayer interference can eliminate the interlayer interference contained in the initial channel response of the reference signal, and improve the accuracy of channel estimation and system performance .

With reference to the following description and accompanying drawings, there are disclosed in detail specific embodiments of the invention, indicating the manner in which the principles of the invention may be employed. It should be understood that embodiments of the invention are not limited thereby in scope. Embodiments of the invention encompass many changes, modifications and equivalents within the spirit and scope of the appended claims.

Features described and/or illustrated with respect to one embodiment can be used in the same or similar manner in one or more other embodiments, in combination with, or instead of features in other embodiments .

It should be emphasized that the term "comprising/comprising" when used herein refers to the presence of a feature, integer, step or component, but does not exclude the presence or addition of one or more other features, integers, steps or components.

Description of drawings

FIG. 1 is a schematic diagram of a traditional channel estimation method based on a UE reference signal;

FIG. 2 is a schematic diagram of a UE-specific reference signal structure;

FIG. 3 is a schematic diagram of the structure of a channel estimation device according to an embodiment of the present invention;

FIG. 4 is another schematic diagram of the structure of the channel estimation device according to the embodiment of the present invention;

FIG. 5 is a schematic diagram of a simulation performance of an embodiment of the present invention;

FIG. 6 is a flowchart of a channel estimation method according to an embodiment of the present invention;

FIG. 7 is another flow chart of the channel estimation method according to the embodiment of the present invention;

Fig. 8 is a schematic diagram of a channel estimation method according to an embodiment of the present invention.

detailed description

The foregoing and other features of the invention will become apparent from the following description, taken with reference to the accompanying drawings. In the specification and drawings, specific embodiments of the invention are disclosed, which illustrate some embodiments in which the principles of the invention may be employed. It is to be understood that the invention is not limited to the described embodiments, but rather, the invention The invention includes all modifications, variations and equivalents that come within the scope of the appended claims.

Embodiments of the present invention are described by taking a UE-specific reference signal in an LTE-Advanced system as an example. However, it should be noted that the present invention is not limited thereto, and can also be applied to other communication systems, for example. And it is not limited to the UE-specific reference signal, and can also be applied to other signals, for example, the reference signal designed by code division multiplexing (CDM) can be applied to the present invention.

FIG. 1 is a schematic diagram of a traditional channel estimation method based on a UE reference signal. Among them, r(*) indicates that the UE receives the signal, Indicates the estimation result of the channel response, i indicates the serial number of the receiving antenna, j indicates the serial number of the downlink transmission data layer, n indicates the serial number of the downlink time slot, k indicates the occupied frequency domain resource number, and l indicates the occupied time domain symbol label.

As shown in Figure 1, the received signal r(i, n, k, l) is input to the UE-dedicated signal resource element initial channel response estimation unit for demultiplexing and despreading processing, and the initial UE-dedicated signal resource element of different downlink transmission layers is obtained channel response Wherein, the design of the UE-specific reference signal adopts a two-dimensional orthogonal code with a spreading factor (SF: spreading factor) of 4.

Fig. 2 is a schematic diagram of a UE-specific reference signal structure. As wrong! Reference source not found. As shown, according to different orthogonal code groups, UE-specific reference signals using the same time-frequency resource in a resource block can be divided into seven reference signal groups S _i ((i=0,...,6). The despreading There are two ways of processing: despreading based on the direction of the time domain and despreading based on the direction of the frequency domain.

Wherein, the despreading process in the time domain direction is based on D _i (i=0, 1, 2), and its output result can be shown in the following formula [1]. The despreading in the frequency domain direction is based on S _i (i=3, 4, 5, 6), and the output result can be shown in the following formula [2]. Where α(p, k, l) is the UE reference signal sequence of the resource element corresponding to port p.

${\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; TD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}}<span\; class="notranslate">\; )</span>$

$<span\; class="notranslate">\; =</span>{\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; TD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; TD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; TD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 7</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; TD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 8</span>}<span\; class="notranslate">\; )</span>$

$<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; 4</span>}}\underset{{\mathrm{<span\; class="notranslate">\; l</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 0,1,7,8</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}\mathrm{<span\; class="notranslate">\; r</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; l</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; *</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}^{<span\; class="notranslate">\; *</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 7</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; l</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>$

(m=0, 1, 2; k=5*m+offset)

[1]

${\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; FD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}}<span\; class="notranslate">\; )</span>$

$<span\; class="notranslate">\; =</span>{\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; FD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; FD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; FD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 5</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; FD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 5</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>$

$<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; 4</span>}}\underset{{\mathrm{<span\; class="notranslate">\; k</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 0,5</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}\underset{{\mathrm{<span\; class="notranslate">\; l</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 0,1</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}\mathrm{<span\; class="notranslate">\; r</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; k</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; l</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; *</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}^{<span\; class="notranslate">\; *</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 7</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; k</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; l</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>$

(m=3, 4, 5, 6; k=5*(m-3)+offset)

[2]

As shown in Figure 2, using H(i, j, n, k, l) to represent the real channel response, then the port 7 UE-specific reference signal in the first layer downlink transmission (j=0) at resource unit A experiences The channel response can be expressed as:

In the above formula Represents the average value of the real channel response experienced by the UE-specific reference signal group S ₀ in the downlink transmission of the j-th layer, represents the estimated value of Gaussian white noise, while Indicates the interlayer interference from the j'th layer included in the initial channel response estimation of the UE-specific reference signal group _S0 in the downlink transmission of the jth layer.

From the above formula [3] and formula [4], it can be seen that the initial channel response of the UE-specific reference signal not only includes the estimation errors of other resource elements in the signal group, but also includes Interlayer interference between layers. However, traditional methods such as linear interpolation or classic MMSE filtering do not include the processing of the interference in the subsequent estimation of the channel response at the data information resource element. Therefore, the inter-layer Interference will inevitably lead to a decrease in channel estimation accuracy and a decrease in system performance.

Example 1

An embodiment of the present invention provides a channel estimation device, and FIG. 3 is a schematic diagram of the structure of the channel estimation device according to the embodiment of the present invention. As shown in FIG. 3, the channel estimation device includes: a preprocessing unit 301, an interference cancellation unit 302, and a channel estimation unit 303;

Among them, the preprocessing unit 301 uses the pre-generated reference signal sequence to perform demultiplexing and despreading processing on the received signal, so as to extract the initial channel response information at the resource element occupied by the reference signal in the downlink transmission layer that is superimposed together; interference elimination Unit 302 performs interference cancellation according to the interference cancellation matrix for eliminating interlayer interference and the initial channel response information, and obtains the channel response information at the resource element occupied by the reference signal after interference cancellation; the channel estimation unit 303 is based on the reference signal after interference cancellation The channel response information at the resource element occupied by the signal is used to estimate the channel response at the resource element occupied by the downlink transmission data.

During specific implementation, the interference cancellation matrix for eliminating inter-layer interference may be obtained based on empirical values, or may be generated based on statistical characteristics of the transmission channel. The interference cancellation unit 302 can perform smoothing processing according to the interference cancellation matrix and the initial channel response information, for example, can multiply the interference cancellation matrix and the initial channel response information to obtain the resource element occupied by the reference signal after interlayer interference is eliminated The channel response information at

In one embodiment, the preprocessing unit 301 can perform demultiplexing and despreading processing based on the time direction, and the output result can be as shown in formula [1]. The output can be expressed in the form of a vector:

${\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; TD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; S</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\left[\begin{array}{c}{\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; TD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; )</span>\\ {\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; TD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>\\ {\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; TD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>\end{array}\right]<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; 5</span>}<span\; class="notranslate">\; ]</span>$

For example: if the predicted transmission channel varies linearly in the frequency domain, the interference cancellation matrix can be used

${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; IM</span>}}<span\; class="notranslate">\; =</span>\left[\begin{array}{ccc}\mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\end{array}\right]<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; 6</span>}<span\; class="notranslate">\; ]</span>$

Then use the interference cancellation matrix to process the initial channel response at the UE-specific reference signal resource element, and the output result can be:

${\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; IM</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; TD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; IM</span>}}<span\; class="notranslate">\; *</span>{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; TD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; S</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; 7</span>}<span\; class="notranslate">\; ]</span>$

Finally, the channel response at the data information resource element is estimated based on the channel response at the UE-specific reference signal resource element after interference cancellation, and the following results are output.

$\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; f</span>}<span\; class="notranslate">\; (</span>{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; TD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; S</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; 8</span>}<span\; class="notranslate">\; ]</span>$

Wherein, the channel response estimation function f(*) at the data information resource element may be linear interpolation or MMSE or the like. In another implementation manner, the preprocessing unit 301 may also perform demultiplexing and despreading processing based on the frequency direction, and the output result thereof may be shown in formula [2]. The output can be expressed in the form of a vector:

${\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; FD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; S</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\left[\begin{array}{c}{\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; FD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; )</span>\\ {\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; FD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}_{\mathrm{<span\; class="notranslate">\; 4</span>}}<span\; class="notranslate">\; )</span>\\ {\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; FD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}_{\mathrm{<span\; class="notranslate">\; 5</span>}}<span\; class="notranslate">\; )</span>\\ {\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; FD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}_{\mathrm{<span\; class="notranslate">\; 6</span>}}<span\; class="notranslate">\; )</span>\end{array}\right]<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; 9</span>}<span\; class="notranslate">\; ]</span>$

For example: if the predicted channel changes linearly in the frequency domain, the interference cancellation matrix can be used

${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; IM</span>}}<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}\mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\\ \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\end{array}\right]<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; 10</span>}<span\; class="notranslate">\; ]</span>$

Then use the interference cancellation matrix to process the initial channel response at the UE-specific reference signal resource element, and the output result is:

${\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; IM</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; FD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; IM</span>}}<span\; class="notranslate">\; *</span>{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; FD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; S</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; 11</span>}<span\; class="notranslate">\; ]</span>$

Finally, the channel response at the data information resource element is estimated based on the channel response at the UE-specific reference signal resource element after interference cancellation, and output.

$\stackrel{<span\; class="notranslate">\; ~</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; f</span>}<span\; class="notranslate">\; (</span>{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}_{\mathrm{<span\; class="notranslate">\; ZF</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; FD</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; S</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; 12</span>}<span\; class="notranslate">\; ]</span>$

Wherein, the channel response estimation function f(*) at the data information resource element may be linear interpolation or MMSE or the like.

It is worth noting that the above only uses the preprocessing unit to perform demultiplexing and despreading processing based on the time domain direction, and the interference cancellation unit performs interference cancellation in the frequency domain direction; or only the preprocessing unit performs frequency domain direction. The demultiplexing and despreading processing and the interference cancellation performed by the interference cancellation unit in the frequency domain direction are described as an example, but the present invention is not limited thereto.

In this embodiment, the preprocessing unit can also perform demultiplexing and despreading processing based on the frequency domain direction, and the interference elimination unit performs interference elimination in the time domain direction or the frequency domain direction; or the preprocessing unit performs demultiplexing and despreading processing based on the time domain direction. For demultiplexing and despreading processing, the interference elimination unit performs interference elimination in the frequency domain direction; or the preprocessing unit performs demultiplexing and despreading processing based on the time domain and frequency domain directions, and the interference elimination unit performs interference elimination in the time domain and frequency domain directions Perform interference cancellation. The specific implementation manner can be determined according to the actual situation.

Example 2

An embodiment of the present invention provides a channel estimation device. On the basis of Embodiment 1, the interference cancellation matrix generated according to the statistical characteristics of the transmission channel is described in detail. Wherein, the same content as that of Embodiment 1 will not be repeated here.

Fig. 4 is another schematic diagram of the structure of the channel estimation device according to the embodiment of the present invention. As shown in FIG. 4 , the channel estimation device includes: a preprocessing unit 401 , an interference cancellation unit 402 and a channel estimation unit 403 . In addition, the channel estimation apparatus may further include: a matrix calculation unit 404, configured to generate the interference cancellation matrix according to the statistical characteristics of the transmission channel.

In a specific implementation, the matrix calculation unit 404 may be specifically configured to: perform minimum mean square error estimation based on at least one of the signal-to-noise ratio, Doppler frequency shift, or delay spread information of the transmission channel to calculate the interference cancellation matrix.

In this embodiment, the interference cancellation matrix can be generated based on channel statistical characteristics. The estimation of the channel statistical characteristics can be performed using the initial channel response of the UE-specific reference signal, or based on other reference signals, such as a cell-specific reference signal (CRS, cell-specificRS) or a channel state information reference signal (CSI-RS, channelstateinformationRS) Make an estimate.

For example, the interference cancellation matrix W _LM can be generated according to the statistical characteristics of the transmission channel, including signal-to-noise ratio (γ), Doppler frequency shift (F _d ) and delay spread (τ). Specifically, it can be expressed as:

${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; IM</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; \{</span>\mathrm{<span\; class="notranslate">\; h</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; UERS</span>}}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; l</span>}}_{\mathrm{<span\; class="notranslate">\; UERS</span>}}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; h</span>}}^{<span\; class="notranslate">\; *</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; UERS</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; l</span>}}_{\mathrm{<span\; class="notranslate">\; UERS</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>{<span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; \{</span>\mathrm{<span\; class="notranslate">\; h</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; UERS</span>}}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; l</span>}}_{\mathrm{<span\; class="notranslate">\; UERS</span>}}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; h</span>}}^{<span\; class="notranslate">\; *</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; UERS</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; l</span>}}_{\mathrm{<span\; class="notranslate">\; UERS</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span><span\; class="notranslate">\; +</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; \&gamma;</span>}}\mathrm{<span\; class="notranslate">\; I</span>}<span\; class="notranslate">\; ]</span>}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; 13</span>}<span\; class="notranslate">\; ]</span>$

Among them, I is the identity matrix, E{H(k _UERS , l _UERS )H ^* (k′ _UERS , l′ _UERS )} is the autocorrelation function of the UERS sequence, which can be expressed as:

E{H(k _UERS , l _UERS )H ^* (k′ _UERS , l′ _UERS )}=f(F _d ,τ, (k _UERS , l _UERS ), (k′ _UERS , l′ _UERS ))[14 ]

It should be noted that, the above only uses the signal-to-noise ratio, Doppler frequency shift or time delay extension as examples for illustration. But it is not limited thereto, and the above formula can also be appropriately modified. For example, if it is applied in a special scenario, such as a stationary state (F _d =0 at this time), then the autocorrelation function in formula [14] can be expressed as

E{H(k _UERS , l _UERS )H ^* (k′ _UERS , l′ _UERS )}=f(τ, (k _UERS , l _UERS ), (K′ _UERS , l′ _UERS ))[15]

FIG. 5 is a schematic diagram of a simulation performance of an embodiment of the present invention. Among them, formula [5] to formula [8] are used specifically, and the simulation configuration environment is that the number of downlink transmission data layers is 8, the number of transmitting antennas is 8, the number of receiving antennas is 8, the channel is ETU5, and the bandwidth is 10MHz. It can be seen from FIG. 5 that the interference cancellation improves the estimation accuracy of the channel response at the UE-specific reference signal resource elements.

It can be seen from the above embodiments that the interference cancellation matrix and initial channel response information for eliminating interlayer interference can eliminate the interlayer interference contained in the initial channel response of the reference signal, and improve the accuracy of channel estimation and system performance.

Example 3

The embodiment of the present invention also provides a channel estimation method, and the same content as the above-mentioned device will not be repeated here. FIG. 6 is a flowchart of a channel estimation method according to an embodiment of the present invention. As shown in FIG. 6, the channel estimation method includes:

Step 601, using the pre-generated reference signal sequence to perform demultiplexing and despreading processing on the received signal, so as to extract the initial channel response information at the resource element occupied by the reference signal in the downlink transmission layer that is superimposed together;

Step 602, perform interference cancellation according to the interference cancellation matrix used to eliminate inter-layer interference and the initial channel response information, and obtain channel response information at the resource element occupied by the reference signal after interference cancellation;

Step 603: Estimating the channel response at the resource element occupied by the downlink transmission data based on the channel response information at the resource element occupied by the reference signal after the interference has been eliminated.

During specific implementation, the interference cancellation matrix for eliminating inter-layer interference may be obtained based on empirical values, or may be generated based on statistical characteristics of the transmission channel. Smoothing can be performed according to the interference cancellation matrix and the initial channel response information, for example, the interference cancellation matrix and the initial channel response information can be multiplied to obtain the initial channel response information after the interlayer interference is eliminated.

In one embodiment, demultiplexing and despreading processing based on the time domain direction may be performed, and interference cancellation may be performed in the frequency domain direction. For example, it is predicted that the change of the channel in the frequency domain direction is linear, then the interference cancellation matrix can be:

${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; IM</span>}}<span\; class="notranslate">\; =</span>\left[\begin{array}{ccc}\mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\end{array}\right]$

In another implementation manner, demultiplexing and despreading processing based on the frequency domain direction may be performed, and interference cancellation may be performed in the frequency domain direction. For example, it is predicted that the change of the channel in the frequency domain direction is linear, then the interference cancellation matrix can be:

${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; IM</span>}}<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}\mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\\ \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\end{array}\right]$

In yet another embodiment, demultiplexing and despreading processing based on the frequency domain direction may be performed, and interference cancellation may be performed in the time domain direction or frequency domain direction; or demultiplexing and despreading processing based on the time domain direction may be performed, and Perform interference cancellation in the frequency domain direction; or perform demultiplexing and despreading processing based on the time domain and frequency domain directions, and perform interference cancellation in the time domain and frequency domain directions.

Example 4

An embodiment of the present invention provides a channel estimation method. On the basis of Embodiment 3, the generation of the interference cancellation matrix according to the statistical characteristics of the transmission channel will be described in detail. Wherein, the same content as that of Embodiment 3 will not be repeated here.

In this embodiment, the interference cancellation matrix can be generated based on channel statistical characteristics. When generating the interference cancellation matrix according to the statistical characteristics of the transmission channel, the initial channel response of the UE-specific reference signal, or the initial channel response of the cell-specific reference signal, or the initial channel response of the channel state information reference signal can be used.

Fig. 7 is another flow chart of the channel estimation method according to the embodiment of the present invention. As shown in Fig. 7, the channel estimation method includes:

Step 701, using the pre-generated reference signal sequence to perform demultiplexing and despreading processing on the received signal, so as to extract initial channel response information at resource elements occupied by reference signals in the downlink transmission layer that are superimposed together.

Step 702, generating an interference cancellation matrix according to the statistical characteristics of the transmission channel.

During specific implementation, the interference cancellation matrix may be calculated by performing minimum mean square error estimation based on at least one of signal-to-noise ratio, Doppler frequency shift, or delay spread information of the transmission channel.

Step 703: Perform interference cancellation according to the interference cancellation matrix for eliminating inter-layer interference and the initial channel response information, and obtain channel response information at resource elements occupied by reference signals after interference cancellation.

Step 704: Estimating the channel response at the resource element occupied by the downlink transmission data based on the channel response information at the resource element occupied by the reference signal after the interference has been eliminated.

FIG. 8 is a schematic diagram of a channel estimation method according to an embodiment of the present invention, which is further described by taking a UE-specific reference signal as an example. As shown in Figure 8, the received signal r(i, j, n, k, l) can firstly be demultiplexed and despread to obtain the initial signal response at the UE-specific reference signal resource element Next, the interference cancellation matrix W _LM can be generated according to the statistical characteristics of the transmission channel. Then multiply the interference cancellation matrix with the initial channel response at the UE-specific reference signal resource element to get Finally, the channel response at the data information resource element is estimated based on the channel response at the UE-specific reference signal resource element after interference cancellation.

An embodiment of the present invention also provides user equipment, where the user equipment includes the aforementioned channel estimation apparatus.

It can be seen from the above embodiments that the interference cancellation matrix and initial channel response information for eliminating interlayer interference can eliminate the interlayer interference contained in the initial channel response of the reference signal, and improve the accuracy of channel estimation and system performance.

The above devices and methods of the present invention can be implemented by hardware, or by combining hardware and software. The present invention relates to such a computer-readable program that, when the program is executed by a logic component, enables the logic component to realize the above-mentioned device or constituent component, or enables the logic component to realize the above-mentioned various methods or steps. The present invention also relates to a storage medium for storing the above program, such as hard disk, magnetic disk, optical disk, DVD, flash memory and the like.

The present invention has been described above in conjunction with specific embodiments, but those skilled in the art should be clear that these descriptions are all exemplary and not limiting the protection scope of the present invention. Those skilled in the art can make various variations and modifications to the present invention according to the spirit and principle of the present invention, and these variations and modifications are also within the scope of the present invention.

Regarding the implementation manner comprising the above embodiments, the following additional notes are also disclosed:

(Additional Note 1) A channel estimation device, said channel estimation device comprising:

The preprocessing unit uses the pre-generated reference signal sequence to perform demultiplexing and despreading processing on the received signal, so as to extract the initial channel response information at the resource element occupied by the reference signal in the superimposed downlink transmission layer;

The interference elimination unit performs interference elimination according to the interference elimination matrix used to eliminate interlayer interference and the initial channel response information, and obtains channel response information at the resource element occupied by the reference signal after interference elimination;

The channel estimation unit estimates the channel response at the resource element occupied by the downlink transmission data based on the channel response information at the resource element occupied by the reference signal after the interference has been eliminated.

(Supplementary Note 2) The channel estimation device according to Supplementary Note 1, wherein the channel estimation device further includes:

The matrix calculation unit generates the interference cancellation matrix according to the statistical characteristics of the transmission channel.

(Supplement 3) The channel estimation device according to Supplement 1, wherein the interference cancellation matrix is pre-generated based on empirical values.

(Supplementary Note 4) The channel estimation device according to Supplementary Note 2, wherein the matrix calculation unit is specifically configured to: based on at least one of the signal-to-noise ratio, Doppler frequency shift, or delay spread information of the transmission channel One, perform minimum mean square error estimation to calculate the interference cancellation matrix.

(Supplement 5) The channel estimation device according to Supplement 2, wherein the matrix calculation unit uses the initial channel response of the user equipment-specific reference signal to estimate the statistical characteristics of the transmission channel, or uses the initial channel of the cell-specific reference signal Estimate the statistical characteristics of the transmission channel in response, or use the initial channel response of the channel state information reference signal to estimate the statistical characteristics of the transmission channel.

(Supplementary Note 6) The channel estimation device according to Supplementary Note 1, wherein the preprocessing unit performs demultiplexing and despreading processing based on the time domain direction, and the interference cancellation unit performs interference cancellation in the frequency domain direction.

(Supplementary Note 7) The channel estimation device according to Supplementary Note 6, wherein the change of the predicted channel in the frequency domain direction is linear, and the interference cancellation matrix is:

${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; IM</span>}}<span\; class="notranslate">\; =</span>\left[\begin{array}{ccc}\mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\end{array}\right]$

(Supplementary Note 8) The channel estimation device according to Supplementary Note 1, wherein the preprocessing unit performs demultiplexing and despreading processing based on the frequency domain direction, and the interference elimination unit performs frequency domain direction or time domain direction Perform interference cancellation.

(Supplementary Note 9) The channel estimation device according to Supplementary Note 7, wherein the change of the predicted channel in the frequency domain direction is linear, and the interference cancellation matrix is:

${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; IM</span>}}<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}\mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\\ \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\end{array}\right]$

(Supplementary Note 10) The channel estimation device according to Supplementary Note 1, wherein the preprocessing unit performs demultiplexing and despreading processing based on the frequency domain direction, and the interference elimination unit performs time domain direction or frequency domain direction Perform interference cancellation; or, the preprocessing unit performs demultiplexing and despreading processing based on the time domain direction, and the interference cancellation unit performs interference cancellation in the frequency domain direction; or, the preprocessing unit performs time domain and For demultiplexing and despreading processing in the frequency domain direction, the interference elimination unit performs interference elimination in the time domain and frequency domain directions.

(Supplementary Note 11) A channel estimation method, the channel estimation method comprising:

Using the pre-generated reference signal sequence to perform demultiplexing and despreading processing on the received signal, so as to extract the initial channel response information at the resource element occupied by the reference signal in the superimposed downlink transmission layer;

Perform interference cancellation according to the interference cancellation matrix for eliminating interlayer interference and the initial channel response information, and obtain channel response information at the resource element occupied by the reference signal after interference cancellation;

Estimating the channel response at the resource element occupied by the downlink transmission data based on the channel response information at the resource element occupied by the reference signal after the interference has been eliminated.

(Supplementary Note 12) The channel estimation method according to Supplementary Note 11, wherein the channel estimation method further includes:

The interference cancellation matrix is generated according to the statistical properties of the transmission channel.

(Supplementary Note 13) The channel estimation method according to Supplementary Note 12, wherein generating the interference cancellation matrix according to the statistical characteristics of the transmission channel specifically includes: based on the signal-to-noise ratio, Doppler frequency shift or time Extending at least one of the extended information, a minimum mean square error estimation is performed to calculate the interference cancellation matrix.

(Supplementary Note 14) The channel estimation method according to Supplementary Note 12, wherein when generating the interference cancellation matrix according to the statistical characteristics of the transmission channel, the initial channel response of the user equipment-specific reference signal is used to estimate the statistical characteristics of the transmission channel, Either the initial channel response of the cell-specific reference signal is used to estimate the statistical characteristics of the transmission channel, or the initial channel response of the channel state information reference signal is used to estimate the statistical characteristics of the transmission channel.

(Supplementary Note 15) The channel estimation method according to Supplementary Note 11, wherein demultiplexing and despreading are performed in the direction of the time domain, and interference cancellation is performed in the direction of the frequency domain.

(Supplementary Note 16) The channel estimation method according to Supplementary Note 15, wherein the change of the predicted channel in the frequency domain direction is linear, and the interference cancellation matrix is:

${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; IM</span>}}<span\; class="notranslate">\; =</span>\left[\begin{array}{ccc}\mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\end{array}\right]$

(Supplementary Note 17) The channel estimation method according to Supplementary Note 11, wherein demultiplexing and despreading processing based on the frequency domain direction is performed, and interference cancellation is performed in the frequency domain direction or the time domain direction.

(Supplementary Note 18) The channel estimation method according to Supplementary Note 17, wherein the change of the predicted channel in the frequency domain direction is linear, and the interference cancellation matrix is:

${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; IM</span>}}<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}\mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\\ \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\end{array}\right]$

(Supplementary Note 19) The channel estimation method according to Supplementary Note 11, wherein the demultiplexing and despreading processing based on the frequency domain direction is performed, and interference cancellation is performed in the time domain direction or in the time domain direction; or the time domain based Demultiplexing and despreading processing in the direction, and interference cancellation in the frequency domain direction; or demultiplexing and despreading processing based on the time domain and frequency domain directions, and interference cancellation in the time domain and frequency domain directions.

(Supplementary note 20) A user equipment, the user equipment including the channel estimation apparatus according to any one of Supplementary notes 1 to 10.

Claims (11)

1. A channel estimation device, characterized in that, said channel estimation device comprises: The preprocessing unit uses the pre-generated reference signal sequence to perform demultiplexing and despreading processing on the received signal, so as to extract the initial channel response information at the resource element occupied by the reference signal in the superimposed downlink transmission layer; The interference elimination unit performs interference elimination according to the interference elimination matrix used to eliminate interlayer interference and the initial channel response information, and obtains channel response information at the resource element occupied by the reference signal after interference elimination; The channel estimation unit estimates the channel response at the resource element occupied by the downlink transmission data based on the channel response information at the resource element occupied by the reference signal after the interference has been eliminated. 2. The channel estimation device according to claim 1, wherein the channel estimation device further comprises: The matrix calculation unit generates the interference cancellation matrix according to the statistical characteristics of the transmission channel. 3. The channel estimation device according to claim 2, wherein the matrix calculation unit is specifically configured to: based on at least one of the signal-to-noise ratio, Doppler frequency shift or delay spread information of the transmission channel, perform The minimum mean square error estimate is used to compute the interference cancellation matrix. 4. The channel estimation device according to claim 2, wherein the matrix calculation unit uses the initial channel response of the user equipment-specific reference signal to estimate the statistical characteristics of the transmission channel, or uses the initial channel response of the cell-specific reference signal to perform transmission Estimation of the statistical properties of the channel, or estimation of the statistical properties of the transmission channel using the initial channel response of the channel state information reference signal. 5. The channel estimation device according to claim 1, wherein the preprocessing unit performs demultiplexing and despreading processing based on the time domain direction, and the interference cancellation unit performs interference cancellation in the frequency domain direction. 6. The channel estimation device according to claim 1, wherein the preprocessing unit performs demultiplexing and despreading processing based on the frequency domain direction, and the interference elimination unit performs interference elimination in the time domain direction or the frequency domain direction . 7. The channel estimation device according to claim 1, wherein the preprocessing unit performs demultiplexing and despreading processing based on the time domain and frequency domain directions, and the interference elimination unit performs demultiplexing and despreading in the time domain and frequency domain directions Interference cancellation. 8. A channel estimation method, characterized in that the channel estimation method comprises: Using the pre-generated reference signal sequence to perform demultiplexing and despreading processing on the received signal, so as to extract the initial channel response information at the resource element occupied by the reference signal in the superimposed downlink transmission layer; Perform interference cancellation according to the interference cancellation matrix for eliminating interlayer interference and the initial channel response information, and obtain channel response information at the resource element occupied by the reference signal after interference cancellation; Estimating the channel response at the resource element occupied by the downlink transmission data based on the channel response information at the resource element occupied by the reference signal after the interference has been eliminated. 9. The channel estimation method according to claim 8, wherein the channel estimation method further comprises: The interference cancellation matrix is generated according to the statistical properties of the transmission channel. 10. The channel estimation method according to claim 9, wherein generating the interference cancellation matrix according to the statistical characteristics of the transmission channel specifically comprises: based on the signal-to-noise ratio, Doppler frequency shift or delay spread information of the transmission channel At least one of the methods is to perform minimum mean square error estimation to calculate the interference cancellation matrix. 11. A user equipment, characterized in that the user equipment comprises the channel estimation apparatus according to any one of claims 1-7.