WO2012171407A1 - Method and device for determining time synchronization location - Google Patents

Abstract

Disclosed is a method for determining a time synchronization location, comprising: acquiring time domain data through each receiving antenna of a user equipment (UE); dividing the time domain data corresponding to each receiving antenna into N time domain data segments with equal lengths, in the time domain data segments corresponding to each receiving antenna, the last Q pieces of time domain data in a previous time domain data segment being the first Q pieces of time domain data in a current time domain data segment, Q being a positive integer, and N being a positive integer; performing sliding-related processing according to each time domain primary synchronization sequence and each time domain data segment, so as to determine at least one multidimensional sequence; and determining a time synchronization location according to the multidimensional sequence. Also disclosed is a device for determining a time synchronization location. Through the method and the device of the present invention, the performance of downlink time synchronization is effectively improved. Positioning accuracy of downlink time synchronization location obtained in embodiments of the present invention is high, thereby providing accurate and reliable downlink timing adjustment information for the UE.

Description

 Method and device for determining time synchronization position

 The present invention relates to the field of communications technologies, and in particular, to a method and apparatus for determining a time synchronization location. Background technique

 The Long Term Evolution (LTE) system is an evolution of the third generation mobile communication (3G, 3rd Generation). Compared with 3G systems, LTE systems have higher user data rates, system capacity and coverage, and spectrum resource allocation is more reasonable and flexible. The basic technology of the LTE system is Orthogonal Frequency Division Multiplexing (OFDM).

 OFDM technology mainly divides the channel into several orthogonal subchannels, converts high-speed data signals into parallel low-speed sub-data streams, and modulates them to transmit on each sub-channel. The OFDM system is very sensitive to synchronization errors, and small synchronization errors may cause Inter-Symbol Interference (ISI) and Inter-Carrier Interference (ICI) greatly impair the performance of the system.

 In the LTE system, the user equipment (UE, User Equipment) must first undergo a cell search process after booting to access an LTE cell, including a series of synchronization processes to ensure that the UE obtains uplink signal transmission and downlink reception. Parameters such as timing and frequency offset estimation of operations such as data demodulation.

To complete the cell search process, the LTE system uses two physical layer signals for cell broadcast, and the instant domain primary synchronization sequence (PSS) and the secondary synchronization sequence (SSS), the time domain PSS and the SSS can be simultaneously applied to frequency division duplex (FDD, In the LTE system of Time Division Duplexing (TDD), the UE obtains not only time, frequency synchronization, and frame synchronization through the cell search process, but also obtains the cell ID and cyclic prefix (CP, Cyclic). Information such as the length of Prefix).

 In the prior art, the acquisition process of the downlink time synchronization location is: performing a sliding correlation process on the data sequence received by the local known time domain PSS and a certain receiving antenna, thereby obtaining a time synchronization location, so as to obtain the frequency domain synchronization and the cell subsequently. ID information. Therefore, the positioning accuracy of the downlink time synchronization position in the LTE system directly determines the access performance of the terminal. However, in the downlink time synchronization algorithm of the LTE system currently used, the spatial and temporal gains caused by the periodic transmission of the multiple receiving antennas and the downlink synchronization signals are not effectively utilized, resulting in low positioning accuracy of the obtained downlink time synchronization position, which cannot be The UE provides accurate and reliable downlink timing adjustment information.

 In summary, the current downlink synchronization method fails to effectively utilize the space and time gain brought by the multi-reception antenna and the downlink synchronization signal periodic transmission, resulting in a problem that the positioning accuracy of the time synchronization position is low. Summary of the invention

 The embodiment of the invention provides a method and a device for determining a time synchronization position, which are used to solve the space and time gain caused by the failure to effectively utilize the multi-receiving antenna and the downlink synchronization signal periodically, which leads to time synchronization. The positioning accuracy of the position is low.

 The embodiment of the invention provides a downlink time synchronization method, including:

 Obtaining time domain data by each receiving antenna of the UE;

 The time domain data corresponding to each receiving antenna is respectively divided into N equal-length time domain data segments, wherein in the time domain data segment corresponding to each receiving antenna, the last β time domain data in the previous time domain data is the next segment. Before the time domain data! 2 time domain data, β is a positive integer; N is a positive integer; performing sliding correlation processing according to each time domain PSS and each time domain data segment to determine at least one multidimensional sequence;

 A time synchronization position is determined based on the multi-dimensional sequence.

An embodiment of the present invention provides a device for determining a time synchronization location, where the device includes: a receiving module, configured to acquire time domain data by using each receiving antenna of the UE; a segmentation processing module, configured to respectively divide time domain data corresponding to each receiving antenna into N equal-length time domain data segments, wherein in the time domain data segment corresponding to each receiving antenna, the last Q in the previous segment time domain data The time domain data is the first Q time domain data in the next time domain data, Q is a positive integer; N is a positive integer;

 a sequence determining module, configured to perform at least one multi-dimensional sequence according to each time domain PSS and each time domain data segment by performing sliding correlation processing;

 And a synchronization position determining module, configured to determine a time synchronization position according to the multi-dimensional sequence.

 In the embodiment of the present invention, the time domain data corresponding to each receiving antenna is segmented, and each time domain PSS and each time domain data segment are subjected to sliding correlation processing, thereby fully utilizing multiple receiving at the UE side. The spatial diversity gain of the antenna and/or the time diversity gain of the periodic transmission of the PSS sequence can effectively improve the performance of the downlink time synchronization. The downlink time synchronization position obtained in the embodiment of the present invention has high positioning accuracy and can provide accurate and reliable UE. Downlink timing adjustment letter

DRAWINGS

 1 is a flowchart of a method for determining a time synchronization position according to an embodiment of the present invention;

 2 is a schematic diagram of receiving time domain data by a receiving antenna according to an embodiment of the present invention; FIG. 3 is a schematic structural diagram of segmenting processing time domain data;

 4 is a schematic diagram showing a positional relationship of time domain data mapping in a frame structure of a downlink synchronization channel in the LTE standard;

 FIG. 5 is a flowchart of a method for downlink time synchronization according to an embodiment of the present invention;

 FIG. 6 is a schematic structural diagram of an apparatus for determining a time synchronization position according to an embodiment of the present invention. detailed description

BACKGROUND OF THE INVENTION The acquisition process of a downlink time synchronization position fails to effectively utilize the spatial and temporal gains caused by the multi-reception antenna and the downlink synchronization signal periodic transmission, resulting in a downlink time obtained. The positioning accuracy of the inter-synchronous position is low, so that the UE cannot provide accurate and reliable downlink timing adjustment information. The embodiment of the present invention utilizes the spatial diversity gain of multiple receiving antennas of the UE and/or the time diversity gain of the periodic transmission of the PSS sequence, thereby effectively improving the performance of the downlink time synchronization, and obtaining the positioning accuracy of the downlink time synchronization position is high, and can provide the UE with Accurate and Reliable Downlink Timing Adjustment Signal The embodiments of the present invention are applicable to both the FDD LTE system and the TDD LTE system, but are not limited thereto, and can be applied to other systems.

 The embodiments of the present invention are further described in detail below with reference to the accompanying drawings.

 A method for determining a time synchronization position according to an embodiment of the present invention, as shown in FIG. 1, the method includes the following steps:

 Step 101: Obtain time domain data by using each receiving antenna of the UE.

 Step 102: Divide the time domain data corresponding to each receiving antenna into N time-domain data segments of equal length P, where the time domain data segment corresponding to each receiving antenna is the last in the previous time domain data! The two time domain data are the first in the next time domain data! 2 time domain data, β is a positive integer; N is a positive integer;

 Step 103: Perform sliding correlation processing according to each time domain PSS and each time domain data segment to determine at least one multidimensional sequence.

 Step 104: Determine a time synchronization position according to the multi-dimensional sequence.

 Preferably, Q is the sum of one OFDM symbol length and CP length; one OFDM symbol length refers to the number of subcarriers in one OFDM symbol period; CP is divided into three types: long CP, short CP, and regular CP (normal CP). Which length to use can be set as needed;

 The length of each time domain data segment is the sum of the length of the time domain data received by a receiving antenna in one receiving cycle and β.

According to the LTE protocol, one receiving period of each receiving antenna is 5 ms. As shown in FIG. 2, in the TD-LTE system, the time domain data length in the receiving period is related to the bandwidth of the LTE system, for example. For example, under a bandwidth of 20 MHz, one receives 153,600 time domain data in each reception cycle.

 In step 102, the time domain data is divided into N time-domain data segments of equal length P. See Figure 3. As shown in FIG. 3, the time domain data corresponding to each receiving antenna is divided into N time-domain data segments of equal length P, which are not average segments. In the segmentation, the length of the first time domain data segment corresponding to the receiving antenna is P, and the length P of the second time domain data segment is calculated from the (P-(2) time domain data in the first time domain data segment. , that is, the last β time domain data in the first time domain data segment is used as the first! 2 time domain data in the second time domain data segment, and is sequentially divided; the total length of the time domain data is a certain value, and each adjacent two The end time domain data shares β time domain data.

 Preferably, step 101 and step 102 may further include:

 The time domain data corresponding to each receiving antenna is subjected to low-pass filtering processing (for example, a low-pass filter with a cutoff frequency of 1.08 MHz may be used for filtering) to obtain time domain data at a corresponding frequency position;

 For one receiving antenna, K time domain data is intercepted from the time domain data after low-pass filtering processing as time domain data that needs to be segmented (the time domain data corresponding to each antenna needs to be processed as such);

 Where K = K N + Q is the length of the time domain data received by a receiving antenna in one receive cycle.

 Correspondingly, in step 102, the truncated time domain data is used for segmentation processing.

 Preferably, in order to further improve the processing efficiency, the intercepted time domain data and each time domain PSS may be separately sampled. specific:

After the time domain data is intercepted, and the time domain data is divided into N segments, the intercepted time domain data is downsampled to obtain time domain data that needs to be segmented, wherein the interval between adjacent two sampled data is F. Time domain data, 1 < ¥ < K, and F is a positive integer; the size of the specific F value is an empirical value, which can be set as needed or through simulation. Correspondingly, in step 102, the down-sampled time domain data is used for segmentation processing.

 Step 103 may further include:

 Each time domain PSS is downsampled as a time domain PSS that needs to be subjected to sliding processing, wherein F time domain data is separated between adjacent two sample data, 1<F<K, and F is a positive integer; The F in the downsampling of the intercepted time domain data is the same as the value of F in the downsampling of each time domain PSS. That is to say, when the intercepted time domain data and each time domain PSS are downsampled, the initial sampling point is first determined, and then one data is taken every F data.

 Since the time domain data and the time domain PSS are downsampled in this embodiment, the efficiency of the sliding correlation processing can be greatly improved, thereby effectively reducing the cell search time.

 Preferably, if the intercepted time domain data and each time domain PSS are respectively downsampled, then

^ (one. Li symbol length + ) . Each time domain data segment length _{P =}

 F

 (Time length of a receive antenna received in a 4 reception period + OFDM symbol length + CP length)

 F. Preferably, in step 103, the multi-dimensional sequence is determined according to formula (1):

 G-1

( 1);

 Where (3⁄4r/'"(z) is a multidimensional sequence; r (z + &) is time domain data; + is for r (z + is conjugate; Pi(k) is time domain PSS for LTE system; The serial number of the domain PSS, =1,

Ζ为时域数据段的长度与窗长之差。 2, 3; «=1,2,3, ...,N; ί=1,2,3, ...,Γ; Γ is the number of receiving antennas; G is the sliding window length, the value of G and! 2 equal;

Ζ is the difference between the length of the time domain data segment and the window length.

 Preferably, the time domain PSS can be referred to the protocol 3GPP, 3rd Generation Partnership Project (TS3.211).

It should be noted that in formula (1), there are two special cases: When N=l and Γ>1, that is, the time domain data is not segmented (using only the spatial diversity gain brought by multiple receiving antennas), the obtained multidimensional sequence is a two-dimensional sequence ^(ζ);

 When τ=ι and N> 1, only the time domain data of a single receiving antenna is processed (using only the time diversity gain brought by the periodic transmission of the PSS sequence), the obtained multidimensional sequence is a two-dimensional sequence.

Cor" (z).

 According to the formula (1), a plurality of multi-dimensional sequences can be obtained, wherein the multi-dimensional sequence determined by the corresponding time domain PSS can be used as the multi-dimensional sequence corresponding to the time domain PSS.

 Preferably, in step 104, all the multi-dimensional sequences determined according to the same time domain PSS (that is, the multi-dimensional sequences corresponding to the time domain PSS) are weighted and combined to obtain a weighted merge sequence corresponding to each time domain PSS;

 The time synchronization position is determined based on the position of the largest peak in all the weighted merge sequences.

 Preferably, in step 104, the weighted merge sequence is determined according to formula (2):

 N T

=∑∑ W ( (2); where is the weighted merge sequence; η=1,2,3,...,Ν; ί=1,2,3, ...,Τ Γ is the number of receive antennas; ' is a weighted combination factor; 0?r/'"(z) is a multi-dimensional sequence. Preferably, the value of ^W is determined by the combination method used, and the combination methods that can be used include equal gain combining, maximum ratio combining, etc. (but not limited to) common methods used in the art; wherein, in the equal gain combining method, "=1, maximum ratio combining method, value of ^W and receiving

 TxN

The value of the signal to interference and noise ratio of the time domain data is proportional.

The following is an example of Γ = 2 and N=3. Explain the determination of Cor; ' ⁿ (z) , (k), and how to determine the time synchronization position. Other situations are similar to the embodiment, and are not described herein again.

In the LTE system, three known PSSs are obtained, and three known PSSs are subjected to CP processing to obtain three local time domain PSSs, which are set to P1, P2, and P3, that is, the value of · is 1, 2, 3. At that time, all the multidimensional sequences determined by P1 were obtained according to formula (1): o^' z) C. ^ ² (z), Cor^(z) . Cor^iz) . 0^ ² ' ² (ζ) and 0^ ² ' ³ (ζ);

When i=2, all the multidimensional sequences determined by P2 are obtained according to formula (2):

C. r ₂ ¹² (z), C. r ₂ ¹³ (z), C. r ₂ ²¹ (z), C. r ₂ ² ' ² (z) and C. r ₂ ² ' ³ (z);

when

C. r ₃ ¹² (z), C. r ₃ ¹³ (z), C. r ₃ ²¹ (z), C. r ₃ ² ' ² (z) and C. r ₃ ² ' ³ (z);

Substituting the above three-dimensional sequence C3⁄4r/'"(z) into the formula (2), we obtain: R, (k), R ₂ (k), and /;

Take / ₂ (W peak value max{W ₂ ( )}; take the peak value of ₃ ( ) max{W ₃ ( )}; take max{^( )}, max{W ₂ ( )} and max{/ The maximum value in 3⁄4( )}, the corresponding position is the time synchronization position of the OFDM symbol in which the primary synchronization signal is located in the corresponding time period.

 As shown in FIG. 4, in the LTE standard, the downlink synchronization channel includes a primary synchronization channel (P_SCH) and a secondary synchronization channel (S_SCH), and the frame structure 2 is taken as an example (ie, a TD-LTE system), and is included in one radio frame. Two P-SCHs, the two P-SCHs are identical, the time domain positions are the third symbol in subframe #1 and subframe #6 respectively; there are also two S-SCHs in one radio frame, and this The two S-SCH synchronization symbols are different. The time domain positions are the last symbol of the second time slot (slot) of subframe #0 and subframe #5, that is, slot #1 and slot in a radio frame. The first sign of the #11 countdown.

 The present invention will be described in detail below with reference to Fig. 5 as an example.

Since the LTE system bandwidth class is divided into 1.4MHz, 3MHz, 5MHz, 10MHz, 15MHz, and 20MHz, the following is a long-term evolution (TD-LTE, TD-SCDMA LTE) system of TD-SCDMA under the bandwidth of 20MHz. , under normal CP conditions, for example, small The time synchronization method in the area search is similar to the method in this embodiment, and is not described here.

 As shown in FIG. 5, the method includes the following steps:

 Step 501: Obtain time domain data of each receiving antenna on the UE side.

 Step 502: Perform low-pass filtering processing on the time domain data in step 501 (in this embodiment, select a low-pass filter with a cutoff frequency of 1.08 MHz), and obtain time domain data of the time domain data at the corresponding frequency position, and The time domain data of the length is intercepted from the time domain data processed by the low-pass filter; wherein, =153600 x N+2192, N is a positive integer, and the value of N considers the complexity and processing delay of the UE side device. ;

 Step 503: Down-sampling time-domain data of length K of each receiving antenna obtained in step 502, where two adjacent sampling data are separated by F time-domain data, and the length of the time-domain data after down-sampling is M. = /F; where l < F d and F is an integer; for the convenience of calculation, the general F value range is [1, 2, 4, 8, 16, 32...].

 Step 504: The time domain data obtained by the downsampling process obtained in step 503 is divided into N segments, each segment length is P=(153600+2192)/F, and the last time in the previous time domain data (2=2192/F The time domain data is the first 2 points in the next time domain data, see Fig. 3; where β is a positive integer; Step 505, transforming three locally known PSSs into the time domain, and adding CP processing to generate three The local time domain PSS is set to P1, P2, and P3, and the sampling interval is F (the F value here is equal to the F value in step 503), and then each receiving antenna obtained in step 504 is obtained. Each time domain data is subjected to sliding correlation processing with a window length of length G=(144+2048)/F, that is, the time domain data segments of all receiving antennas are sequentially traversed to obtain a multidimensional sequence ^, and the specific calculation formula is as a formula ( 1) shown;

 Step 506: Perform all the multi-dimensional sequences obtained in step 505 for each time domain PSS according to formula (2), and obtain a weighted merge sequence, which is recorded;

Step 507: Obtain the corresponding bit of the peak in the three weighted merge sequences obtained in step 506. Set, which is the estimated value of the time offset, then the optimal time synchronization position is:

 Sync_time = arg max(max(^.)) Step 508: Complete the time synchronization process in the cell search of the cell.

 Based on the same inventive concept, an apparatus for determining a time synchronization position is also provided in the embodiment of the present invention. Since the principle of solving the problem is similar to the method of the downlink time synchronization described above, the implementation of the device may refer to the implementation of the method, and the method is repeated. It will not be repeated here.

 A device for determining a time synchronization position is provided in the embodiment of the present invention. As shown in FIG. 6, the device includes:

 The receiving module 10 is configured to acquire time domain data by using each receiving antenna of the UE;

 The segmentation processing module 20 is configured to separately divide the time domain data corresponding to each receiving antenna into N equal-length time domain data segments, where the time domain data segment corresponding to each receiving antenna is the last in the previous time domain data. The Q time domain data is the first Q time domain data in the next time domain data, Q is a positive integer; N is a positive integer;

 The sequence determining module 30 is configured to perform sliding correlation processing according to each time domain PSS and each time domain data segment to determine at least one multi-dimensional sequence;

 The synchronization position determining module 40 is configured to determine a time synchronization position according to the multi-dimensional sequence.

 Preferably, after acquiring the time domain data, the receiving module 10 is further configured to perform low-pass filtering processing on the time domain data corresponding to each receiving antenna, respectively, and perform low-pass filtering processing on one receiving antenna. The K time domain data is intercepted in the back time domain data as time domain data that needs to be segmented; wherein K ^ x N + Q is the time domain data length received by one receiving antenna in one receiving period.

Preferably, after the time domain data is intercepted, the time domain data is divided into N segments. The segment processing module 20 is further configured to perform downsampling on the intercepted time domain data to obtain a time segmentation process. Domain data, where F time-domain data is spaced between two adjacent sampling data, KF < K, and F is a positive integer; and each time domain PSS is down-sampled to obtain a sliding position Time domain PSS, where F time domain data is separated between two adjacent sample data, 1 < ¥ < K, and F is a positive integer.

 Preferably, the sequence determining module 30 can determine the multi-dimensional sequence according to formula (1). Preferably, the synchronization position determining module 40 performs weighted combining processing on all the multi-dimensional sequences determined according to the same time domain PSS to obtain a weighted combining sequence corresponding to each time domain PSS; and the position of the largest peak in all the weighted combining sequences. , determine the time synchronization location.

 Preferably, the sync position determining module 40 determines the weighted merge sequence according to equation (2). Those skilled in the art will appreciate that embodiments of the present invention can be provided as a method, system, or computer program product. Thus, the present invention can take the form of an entirely hardware embodiment, an entirely software embodiment, or a combination of software and hardware. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

 The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart and/or block diagrams, and combinations of flows and/or blocks in the flowcharts and/or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart. These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

 While the preferred embodiment of the invention has been described, the subject matter Therefore, it is intended that the appended claims be interpreted as including

 In the embodiment of the present invention, the time domain data corresponding to each receiving antenna is segmented, and each time domain PSS and each time domain data segment are subjected to sliding correlation processing, thereby fully utilizing multiple receiving at the UE side. The spatial diversity gain of the antenna and/or the time diversity gain of the periodic transmission of the PSS sequence can effectively improve the performance of the downlink time synchronization. The downlink time synchronization position obtained in the embodiment of the present invention has high positioning accuracy and can provide accurate and reliable UE. It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention. Thus, it is intended that the present invention cover the modifications and modifications of the invention

Claims

Claim  A method for determining a time synchronization position, the method comprising: acquiring time domain data by each receiving antenna of a user equipment UE;  The time domain data corresponding to each receiving antenna is respectively divided into N equal-length time domain data segments, wherein in the time domain data segment corresponding to each receiving antenna, the last β time domain data in the previous time domain data is the next segment. Before the time domain data! 2 time domain data, β is a positive integer; N is a positive integer; performing sliding correlation processing according to each time domain primary synchronization sequence and each time domain data segment to determine at least one multidimensional sequence;  A time synchronization position is determined based on the multi-dimensional sequence.  2. The method according to claim 1, wherein β is a sum of an orthogonal frequency division multiplexing OFDM symbol length and a cyclic prefix CP length;  The length of each time domain data segment is the sum of the time domain data length and β received by a receiving antenna in one receiving cycle.  The method according to claim 1, wherein after the time domain data is acquired, and before the time domain data corresponding to each receiving antenna is separately divided into the equal length time domain data segments, the method further includes :  Performing low-pass filtering on the time domain data corresponding to each receiving antenna;  For one receiving antenna, one time domain data is intercepted from the time domain data after low-pass filtering processing as time domain data that needs to be segmented;  Where K ^ x N + Q is the length of the time domain data received by a receiving antenna in one receiving period.  The method according to claim 3, wherein after the time domain data is intercepted, the time domain data is divided into N equal length time domain data segments, the method further includes: Down-sampling time-domain data is obtained, and time domain data that needs to be segmented is obtained, wherein F time-domain data is separated between adjacent two sample data, 1 < ¥ < K, and F is a positive integer; Correspondingly, before performing the sliding correlation processing, the method further includes:  Each time domain primary synchronization sequence is downsampled as a time domain primary synchronization sequence that needs to be subjected to sliding processing, wherein F time domain data is separated between adjacent two sampling data, 1 < ¥ < K, and F is positive Integer.  The method according to claim 4, wherein Q is a quotient of a OFDM symbol length and a CP length and then a quotient with F;  The length of each time domain data segment is the length of the time domain data received by one receiving antenna in one receiving period, the sum of the length of one OFDM symbol and the length of the CP, and the quotient of F.  6. The method of claim 1 wherein the multi-dimensional sequence is determined according to the following formula:

Where Cor/'" (z) is a multidimensional sequence; r (z + &) is time domain data; „(ζ + ) is a pair of r (z + conjugate; is the time domain primary synchronization sequence of the Long Term Evolution LTE system) ; ί· is the sequence number of the time domain main synchronization sequence; “=1, 2, 3, ..., N; ί=1, 2, 3, - ; Γ is the number of receiving antennas; G is the sliding window length, G The value is equal to ! 2;

Ζ is the difference between the length of the time domain data segment and the window length.  The method according to any one of claims 1 to 6, wherein the determining the time synchronization position according to the dimension multiple sequence comprises:  All the multi-dimensional sequences determined according to the same time domain primary synchronization sequence are subjected to weighted combining processing to obtain a weighted combining sequence corresponding to each time domain primary synchronization sequence;  The time synchronization position is determined based on the position of the largest peak in all the weighted merge sequences. 8. The method according to claim 7, wherein the weighting is determined according to the following formula Merged sequence : ) _;

Where R is the weighted merge sequence; ί is the sequence number of the time domain primary synchronization sequence; "=1, 2, 3, ..., N; ί = 1, 2, 3, ..., Τ; The number of receiving antennas; ^w is the weighted combining factor; 0?r/'" (z) is a multi-dimensional sequence.  A device for determining a time synchronization position, the device comprising: a receiving module, configured to acquire time domain data by using each receiving antenna of the UE;  a segmentation processing module, configured to respectively divide time domain data corresponding to each receiving antenna into N equal-length time domain data segments, wherein in the time domain data segment corresponding to each receiving antenna, the last Q in the previous segment time domain data The time domain data is the first Q time domain data in the next time domain data, Q is a positive integer; N is a positive integer;  a sequence determining module, configured to perform, according to each time domain primary synchronization sequence and each time domain data segment, a sliding correlation process to determine at least one multidimensional sequence;  And a synchronization position determining module, configured to determine a time synchronization position according to the multi-dimensional sequence.  The device according to claim 9, wherein, after acquiring time domain data, the receiving module is further configured to perform low-pass filtering processing on time domain data corresponding to each receiving antenna respectively; Receiving antenna, intercepting time domain data from the time domain data after low-pass filtering processing as time domain data that needs to be segmented; wherein KK^N + Q is a receiving antenna received in one receiving period Domain data length. The apparatus according to claim 10, wherein after the time domain data is intercepted, the time domain data is divided into N equal length time domain data segments; and the segment processing module is further configured to intercept the time domain data. The time domain data is downsampled to obtain time domain data that needs to be segmented, wherein the adjacent two sample data are separated by F time domain data, \ < ¥ < K, and F is a positive integer; Downtime sampling of the time domain primary synchronization sequence, obtaining the time domain master with the need for sliding processing A step sequence in which F time-domain data is spaced between adjacent two sample data, 1<F<K, and F is a positive integer.  The device according to claim 9, wherein the sequence determining module is specifically configured to:  Determine the multidimensional sequence according to the following formula:

Where (3⁄4r/'"(z) is a multidimensional sequence; r (z + &) is time domain data; + is a pair of r (z + conjugates; (^) is the time domain primary synchronization sequence of the LTE system; The sequence number of the time domain primary synchronization sequence; "=1, 2, 3, ..., N; ί = 1, 2, 3, - ; Γ is the number of receiving antennas; G is the sliding window length, the value of G and! 2 equal;

Ζ is the difference between the length of the time domain data segment and the window length.  The device according to any one of claims 9 to 12, wherein the synchronization position determining module is specifically configured to:  All the multi-dimensional sequences determined according to the same time domain primary synchronization sequence are subjected to weighted combining processing to obtain a weighted combining sequence corresponding to each time domain primary synchronization sequence; and the time synchronization position is determined according to the position of the largest peak in all the weighted combining sequences.  The device according to claim 13, wherein the synchronization position determining module is specifically configured to: determine a weighted merge sequence according to the following formula:  Ν Τ n=l t=l Where R is the weighted merge sequence; ί is the sequence number of the time domain primary synchronization sequence; "=1, 2, 3, ..., N; ί = 1, 2, 3, ..., Γ; Τ The number of receiving antennas; ^w is the weighted combining factor; C3⁄4r/'"(z) is a multi-dimensional sequence.