CN111323803B - Wireless signal processing method, device and terminal - Google Patents

Abstract

The invention is applicable to the technical field of wireless communication, and provides a wireless signal processing method, a wireless signal processing device and a terminal, wherein the wireless signal processing method comprises the following steps: generating a first function curve according to incoherent accumulated values of wireless signals, and determining the slope of a straight line formed by any two adjacent incoherent accumulated values on the first function curve; determining a ranging code phase offset of the wireless signal according to the slope; and compensating the ranging error of the ranging code of the wireless signal according to the phase offset of the ranging code. The embodiment of the invention can reduce the ranging error caused by multipath interference when the wireless signal is used for positioning, so that the positioning result obtained based on the wireless signal is more accurate, the user can obtain accurate positioning coordinates in the area with weak wireless signal strength, and the experience of the user is improved.

Description

A wireless signal processing method, device and terminal

technical field

The present invention relates to the technical field of wireless communication, in particular to a wireless signal processing method, device and terminal.

Background technique

With the continuous improvement of people's demand for positioning, problems such as low positioning accuracy of satellite positioning technology and low positioning availability in indoor and severely occluded areas have gradually emerged. The use of wireless signals as a supplement to satellite positioning signals can effectively cover indoor areas where satellite positioning signals are seriously blocked, and can effectively make up for the shortcomings of low positioning accuracy of satellite positioning technology. When using wireless signals for positioning, due to the influence of buildings, terrain, and landforms during the transmission of wireless signals, multipath interference will occur, coupled with thermal noise generated by various electronic components, making the ranging of wireless signals The pseudo-range measurement value measured by the code is inaccurate, which eventually leads to inaccurate positioning results. At present, the processing of ranging errors caused by multipath interference and thermal noise in the prior art is usually to use preset parameters for ranging error compensation. Although this can reduce ranging errors to a certain extent, the ranging accuracy is still not enough accurate.

Contents of the invention

In view of this, the main purpose of the present invention is to provide a wireless signal processing method, device and terminal to solve the problem that the error compensation parameters used for multipath interference and thermal noise interference in the prior art are too simple, resulting in The accuracy of the positioning results is not high.

In order to achieve the above object, technical solution of the present invention is achieved in that way:

In a first aspect, an embodiment of the present invention provides a method for processing a wireless signal, the method including:

generating a first function curve according to the non-coherent accumulated value of the wireless signal;

determining the slope of a straight line formed by any two adjacent non-coherent accumulation values on the first function curve;

determining a ranging code phase offset of the wireless signal according to the slope;

Perform ranging error compensation of the ranging code of the wireless signal according to the ranging code phase offset.

Further, the determining the ranging code phase offset according to the slope of the wireless signal includes:

Subtracting the slope from the slope of a straight line formed by any two adjacent non-coherent accumulation values on the second function curve to obtain a slope deviation value;

Querying the first preset table according to the slope deviation value, and obtaining the ranging code phase offset corresponding to the slope deviation value in the first preset table.

Further, before generating the first function curve according to the non-coherent accumulation value of the wireless signal, it also includes:

Inputting the wireless signal into a correlator to perform a correlation operation to obtain coherent accumulation data;

performing non-coherent accumulation on the coherent accumulation data to obtain the non-coherent accumulation value.

Further, after performing non-coherent accumulation on the coherent accumulation data and obtaining the non-coherent accumulation value, it also includes:

Subtracting the non-coherent cumulative value from the ideal non-coherent cumulative value to obtain a deviation value;

counting the number of times the deviation value is greater than a preset threshold within a preset time;

judging whether the number of times is greater than a preset number of times;

If the number of times is greater than or equal to the preset number of times, a first function curve is generated according to the non-coherent accumulation value of the wireless signal.

Further, after the judging whether the number of times is greater than the preset number of times, it also includes:

If the number of times is less than the preset number of times, the wireless signal is input into a correlator to perform a correlation operation to obtain the coherent accumulation data.

Further, the method also includes:

counting the number of times that the mth correlator coherently processes the wireless signal within the preset number of observations to obtain the maximum non-coherent cumulative value, and obtains the probability of the mth correlator;

Based on the probability of the mth correlator, determine the probability distribution of M correlators, where m is a positive integer less than M, and M is the total number of correlators;

determining the ranging accuracy of the ranging code of the wireless signal according to the probability distribution;

Perform ranging error compensation of the ranging code of the wireless signal according to the ranging accuracy of the ranging code.

Further, the determining the ranging accuracy of the ranging code of the wireless signal according to the probability distribution includes:

The second preset table is queried according to the probability distribution, and the ranging accuracy of the ranging code corresponding to the probability distribution in the second preset table is obtained.

In a second aspect, an embodiment of the present invention provides a wireless signal processing device, which includes:

A curve generation module, configured to generate a first function curve according to the non-coherent accumulation value of the wireless signal;

A slope determination module, configured to determine the slope of a straight line formed by any two adjacent non-coherent accumulation values on the first function curve;

a ranging code phase offset determination module, which determines the ranging code phase offset of the wireless signal according to the slope;

The error compensation module is configured to perform ranging error compensation of the ranging code of the wireless signal according to the phase offset of the ranging code.

Further, the device also includes:

A statistics module, used to count the number of times that the mth correlator coherently processes the wireless signal within the preset number of observations to obtain the maximum non-coherent accumulation value, and obtains the probability of the mth correlator; based on the mth correlation Probability of the correlator, determine the probability distribution of M correlators, wherein, m is a positive integer less than M, and M is the total number of the correlators;

A ranging code ranging accuracy determination module, configured to determine the ranging code ranging accuracy of the wireless signal according to the probability distribution.

In a third aspect, an embodiment of the present invention provides a terminal, including a processor, a correlator, an input device, an output device, and a memory, where the processor, the correlator, the input device, the output device, and the memory are connected to each other, wherein the The memory is used to store a computer program that supports the terminal to execute the above method, the computer program includes program instructions, and the processor is configured to invoke the program instructions to execute the above method in the first aspect.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, the computer-readable storage medium stores a computer program, the computer program includes program instructions, and when the program instructions are executed by a processor, the The processor executes the method of the first aspect above.

In the embodiment of the present invention, the first function curve is generated according to the non-coherent accumulation value of the wireless signal, and the slope of the straight line formed by any two adjacent non-coherent accumulation values on the first function curve is determined; the slope is determined according to the slope. The ranging code phase offset of the wireless signal; according to the ranging code phase offset, the ranging error compensation of the ranging code of the wireless signal is performed, and the ranging error compensation can make up for a part of the error in ranging, thereby The accuracy of ranging can be improved. For example, the technical solution provided by the embodiment of the present invention can reduce the ranging error caused by multipath interference when the wireless signal is used for positioning, so that the positioning result based on the wireless signal is more accurate, and allows the user to locate in areas with weak wireless signal strength. Good positioning coordinates can also be obtained, which improves the user experience.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present invention more clearly, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present invention. Ordinary technicians can also obtain other drawings based on these drawings on the premise of not paying creative work.

FIG. 1 is a schematic diagram of multipath propagation of a wireless signal provided by an embodiment of the present invention;

FIG. 2 is a schematic flowchart of a wireless signal processing method provided by an embodiment of the present invention;

Fig. 3 is a kind of second function graph provided by the embodiment of the present invention;

FIG. 4 is a first function graph in a multipath propagation environment provided by an embodiment of the present invention;

5 is a schematic diagram of the slope of a first function curve in a multipath propagation environment provided by an embodiment of the present invention;

FIG. 6 is a schematic flowchart of another wireless signal processing method provided by an embodiment of the present invention;

FIG. 7 is a schematic flowchart of another wireless signal processing method provided by an embodiment of the present invention;

FIG. 8 is a schematic flowchart of another wireless signal processing method provided by an embodiment of the present invention;

FIG. 9 is a schematic diagram of correlator jitter caused by thermal noise provided by an embodiment of the present invention;

FIG. 10 is a schematic block diagram of a wireless signal processing method provided by an embodiment of the present invention;

Fig. 11 is a schematic diagram of a wireless signal processing device provided by an embodiment of the present invention;

Fig. 12 is a schematic diagram of a terminal device provided by an embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and/or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and/or collections thereof.

It should also be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the present invention. As used in this specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural referents unless the context clearly dictates otherwise.

It should also be further understood that the term "and/or" used in the description of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations .

Compared with using wireless signals for wireless communication, when using wireless signals for ranging and positioning, the processing methods of received signals are quite different. In the application scenario of wireless communication, the communication reliability between the terminal and the base station is guaranteed by multiple means, such as signal diversity, signal retransmission mechanism, channel codec error correction, signaling interaction and connection confirmation, etc. In addition, the wireless communication process is usually a bursty data transmission process, which does not require the terminal and the base station to maintain a signal interaction state all the time. In the ranging and positioning using wireless signals, due to the need to realize the continuous positioning function, the receiver needs to monitor the receiving The received wireless signal is continuously observed, and the pseudo-range measurement value is obtained according to the observed value. Even when the signal strength of the wireless signal continues to fluctuate or encounter multipath interference, the receiver should keep the received signal uninterrupted as much as possible to obtain continuous pseudo-range measurement values to ensure that the positioning results are continuous and do not diverge. During this process, mechanisms such as data retransmission cannot compensate for the deterioration of pseudorange measurement values caused by channel deterioration. Therefore, ranging error compensation for ranging errors caused by channel deterioration is required.

Referring to FIG. 1, FIG. 1 is a schematic diagram of multipath propagation of a wireless signal provided by an embodiment of the present invention. As shown in FIG. The multipath signal is superimposed on the direct path signal, resulting in ranging error. Therefore, it is necessary to compensate the ranging error for the error caused by multipath interference.

In addition, since the thermal noise of various electronic components continues to affect the accuracy of positioning, especially in weak signal environments, the impact of thermal noise is even more serious. If the ranging error due to thermal noise is not compensated, the final positioning result will be affected. In a weak signal environment, the adaptability of the pseudorange measurement value to parameters such as signal-to-noise ratio, carrier-to-noise ratio, and symbol-to-signal-to-noise ratio is much higher than in wireless communication application scenarios. Mobility, when the user moves to an occluded area, the signal strength fluctuation and Doppler frequency shift are caused by the occlusion of obstacles, and the signal is seriously affected by thermal noise. At this time, the signal-to-noise ratio, carrier-to-noise ratio and symbol Parameters such as the signal-to-noise ratio often cannot reflect the quality of the received signal in a timely and effective manner.

Therefore, if the ranging error caused by multipath interference and thermal noise is not compensated for, the final positioning result must be inaccurate. If the preset parameters are simply used to input the position calculation algorithm for error compensation, the positioning results calculated by the position calculation algorithm will not be accurate enough.

Therefore, an embodiment of the present invention provides a wireless signal processing method, which performs error compensation on ranging errors caused by multipath interference and thermal noise interference, so that the positioning result obtained based on the wireless signal is more accurate. In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

Referring to FIG. 2, FIG. 2 is a schematic flowchart of a wireless signal processing method provided by an embodiment of the present invention. The method is executed by a processor, and the processor executes the method described in steps S101 to S104. The method includes :

Step S101, generating a first function curve according to non-coherent accumulated values of wireless signals.

The non-coherent accumulation value is a value obtained after the input wireless signal is subjected to coherent calculation and then non-coherent accumulation. The main purpose of the correlation operation is to extract the direct path signal from the multipath interference and thermal noise, and the main function of the non-coherent accumulation is to further enhance the accumulation gain of the received signal.

In an embodiment of the present invention, the first function curve is an autocorrelation function curve, and the autocorrelation function is also used as an example for description in subsequent embodiments. Specifically, generating the autocorrelation function curve according to the non-coherent accumulation value includes: the processor takes the non-coherent accumulation value as the ordinate, and the time delay of each correlator to generate the sub-carrier signal as the abscissa, and establishes the autocorrelation function curve.

For example, referring to FIG. 3, FIG. 3 is a second function curve provided by an embodiment of the present invention. Correlation function curve. As shown in Figure 3, in the absence of thermal noise and multipath interference, the autocorrelation function curve is symmetrical. The second function curve can be simulated by the processor running the matlab program in advance, and stored in the memory.

Due to the existence of buildings and obstacles, the wireless signal sent by the base station forms multi-path propagation at the obstacle, and the multi-path signal is superimposed on the direct path signal, resulting in ranging error. As shown in FIG. 4 , FIG. 4 is a graph of a first function in a multipath propagation environment provided by an embodiment of the present invention. As shown in Figure 4, since the multipath signal is superimposed on the direct path signal, the symmetry of the correlator is destroyed, resulting in the asymmetry of the generated autocorrelation function curve, and multiple peaks may appear.

It should be understood that since the correlation operation performed by the correlator can be performed periodically, the points corresponding to any two adjacent non-coherent accumulation values on the curve will have gaps on the coordinate axes.

Step S102, determining the slope of a straight line formed by any two adjacent non-coherent accumulation values on the first function curve.

Since the autocorrelation function curve is generated according to the non-coherent cumulative value, each non-coherent cumulative value corresponds to a point on the curve, for example, if there are 5 correlators, then 5 non-coherent cumulative values are correspondingly calculated Value, there are 5 corresponding points on the curve, connect two adjacent points to get 4 straight lines, then there will be 4 corresponding slopes.

For example, refer to FIG. 5 , which is a schematic diagram of a slope of a first function curve in a multipath propagation environment provided by an embodiment of the present invention. As shown in Figure 5, there are two points A and B adjacent to each other on the autocorrelation function curve, if the coordinates of point A are (x1, y1), and the coordinates of point B are (x2, y2), then, point A and point B The slope k=(y1-y2)/(x1-x2) of the straight line formed by the points.

Step S103, determining a ranging code phase offset of the wireless signal according to the slope.

Due to multipath interference, the autocorrelation function curve generated based on the incoherent cumulative value will be different from the second function curve, and the slope of the straight line formed by two adjacent points on the curve will also change. The greater the slope change of the straight line, the more The more serious the path interference, the greater the phase offset of the ranging code of the direct path signal.

Further, the determining the ranging code phase offset of the wireless signal according to the slope includes:

The slope is correspondingly subtracted from the slope of a straight line formed by any two adjacent non-coherent accumulation values on the second function curve to obtain a slope deviation value.

For example, as shown in FIG. 5 , the slope k=(y1-y2)/(x1-x2) of the straight line formed by point A and point B on the curve. As shown in Figure 3, there are A ¹ and B ¹ corresponding to the two points A and B on the second function curve. The correspondence here refers to the two points on the corresponding curve under the same abscissa. If the coordinates of point A ¹ are (x1, y ¹ 1), the coordinates of B ¹ point are (x2, y ¹ 2), then the slope k ¹ of the straight line formed by A ¹ point and B ¹ point on the second function curve=(y ¹ 1-y ¹ 2)/(x1-x2). Then, the slope deviation value is equal to kk ¹ , and the closer the slope deviation value is to 0, it means that the wireless signal is subjected to less multipath interference, and the ranging code phase offset is smaller, and the ranging code phase offset can be determined by the slope deviation value the size of.

In the embodiment of the present invention, since the second function curve is a curve in an ideal state simulated by matlab, the slope of a straight line formed by any adjacent two non-coherent accumulation values on the second function curve is known. The processor obtains in advance the slope of the straight line formed by any two adjacent non-coherent accumulation values on the second function curve, writes it into the memory, and calls it directly from the memory when calculating the slope deviation value.

The first preset table is queried according to the slope deviation value, and the ranging code phase offset corresponding to the slope deviation value in the first preset table is obtained.

There is a certain correspondence between the slope deviation value and the ranging code phase offset, and different slope deviation values correspond to different ranging code phase offsets. For example, if the number of correlators is 3, then 3 straight lines can be formed on the first function curve, and if the slope deviation values of the 3 straight lines are all 0, then the ranging code phase offset is 0. The processor obtains in advance the specific corresponding relationship between each slope deviation value and the phase offset of the ranging code obtained in the experiment, and writes the corresponding relationship between the slope deviation value and the phase offset of the ranging code into the first preset one by one. In the setting table, when the slope deviation value is obtained, the magnitude of the phase offset of the ranging code can be obtained by looking up the first preset table, and the first preset table is stored in the memory.

Step S104, performing ranging error compensation of the ranging code of the wireless signal according to the ranging code phase offset.

Using the ranging code phase offset as the ranging error compensation parameter of the position resolution algorithm to participate in the position resolution can reduce the ranging error caused by multipath interference, thereby increasing the accuracy of the positioning coordinates calculated by the position resolution algorithm. positioning accuracy.

In the embodiment of the present invention, the position calculation algorithm is a commonly used position calculation algorithm in the field, so no detailed introduction will be given. For example, the location calculation algorithm includes: a weighted least squares filtering algorithm or a Kalman filtering algorithm.

In the embodiment of the present invention, the first function curve is generated according to the non-coherent accumulation value of the wireless signal, and the slope of the straight line formed by any two adjacent non-coherent accumulation values on the first function curve is determined; the slope is determined according to the slope. The ranging code phase offset of the wireless signal; and performing ranging error compensation of the ranging code of the wireless signal according to the ranging code phase offset. The distance measurement error compensation can make up a part of the distance measurement error, thereby improving the distance measurement accuracy. For example, the technical solution provided by the embodiment of the present invention can reduce the ranging error caused by multipath interference when the wireless signal is used for positioning, so that the positioning result based on the wireless signal is more accurate, and allows the user to locate in areas with weak wireless signal strength. Accurate positioning coordinates can also be obtained, which improves the user experience.

Referring to FIG. 6 , FIG. 6 is a schematic flowchart of another wireless signal processing method provided by an embodiment of the present invention. As shown in FIG. 6 , in step S101 of the above embodiment: generating the first Before a function curve, steps S1001 to S1002 are also included.

Step S1001, inputting the wireless signal into a correlator to perform a correlation operation to obtain coherent accumulation data.

Specifically, the wireless signal is input into a correlator to perform a correlation operation to obtain coherent accumulation data, including:

The correlator uses a group of locally generated sub-carrier signals to perform a correlation operation with the wireless signal to obtain coherent accumulation data.

The correlator can use the correlation characteristic of the signal to extract the direct path signal from multipath interference or thermal noise. The correlator includes: a local carrier signal generator, a correlation operation array module, and the like. Wherein, the local carrier signal generator is used to generate two mutually orthogonal discrete signals, which are generally called sub-carrier signals. The correlation operation array module is used to perform correlation operation on the input signal and the sub-carrier signal generated by the local carrier signal generator.

其中，Cor为相干累加数据，τ为各相关器生成子载波信号的时间间隔，s为接收的无线信号，l为相干累加长度，f₁(t+τ)至f_m(t+τ)为被分成m份的子载波信号，1至m是子载波编号，子载波的分配由第三代合作伙伴计划(3rd Generation Partnership Project，3GPP)规定；D₁至D_m为无线信号的测距码编号，由于测距码是调制在子载波信号上的，所以子载波划分多少份，测距码就划分多少份，因此，在D₁至D_m中，1至m也代表子载波的编号；e为自然对数的底，j代表负数。为了保证信号估算分辨率，通常τ≤0.5Ts，Ts为一个测距码符号宽度。The input signal is a wireless signal sent by the base station for positioning. The processor obtains the coherent accumulation data obtained after the correlator uses a group of locally generated subcarrier signals and the input signal to perform correlation operations, and the operation formula of the correlation operation is:

Among them, Cor is the coherent accumulation data, τ is the time interval for each correlator to generate subcarrier signals, s is the received wireless signal, l is the coherent accumulation length, f ₁ (t+τ) to f _m (t+τ) are Divided into m sub-carrier signals, 1 to m are sub-carrier numbers, and the allocation of sub-carriers is specified by the 3rd Generation Partnership Project (3GPP); D ₁ to D _m are the ranging codes of wireless signals Numbering, since the ranging code is modulated on the subcarrier signal, the number of divisions of the subcarrier is the number of divisions of the ranging code. Therefore, in D ₁ to D _m , 1 to m also represent the number of subcarriers; e is the base of the natural logarithm, and j represents a negative number. In order to ensure the signal estimation resolution, usually τ≤0.5Ts, where Ts is the symbol width of a ranging code.

Because the local carrier signal generator generates 2 mutually orthogonal signals, there are 2 coherent accumulation data obtained after the correlation operation, and the coherent accumulation data of one path is recorded as I, and the coherent accumulation data of the other path is recorded as Q.

Step S1002, performing non-coherent accumulation on the coherent accumulation data to obtain the non-coherent accumulation value.

Specifically, performing non-coherent accumulation on the coherent accumulation data to obtain a non-coherent accumulation value includes:

Taking the modulus or modulus square of the coherent accumulation data and then performing data accumulation to obtain a non-coherent accumulation value.

The coherent accumulation data I of one path is taken as the real part, and the coherent accumulation data Q of the other path is taken as the imaginary part.

The formula for data accumulation after modulus is:

The formula for data accumulation after modular square is:

Among them, Noncoh is the non-coherent accumulation value, and k is the number of non-coherent accumulation.

Since the wireless signal is used for ranging and positioning, it is necessary to restore the real and usable ranging signal to the maximum extent in weak signal tracking, so a long non-coherent accumulation time is required, usually in milliseconds or seconds. For example, one embodiment of the invention uses non-coherent accumulation times on the order of seconds. The non-coherent accumulation time can be realized by increasing the k value in the above formula, where k is the number of non-coherent accumulation times, and the more non-coherent accumulation times, the longer the non-coherent accumulation time.

Referring to FIG. 7 , FIG. 7 is a schematic flowchart of another wireless signal processing method provided by the present invention. As shown in FIG. 7 , after step S1002 in the above embodiment, steps S1003 to S1007 are also included.

Step S1003, subtracting the non-coherent cumulative value from the ideal non-coherent cumulative value to obtain a deviation value.

The ideal non-coherent cumulative value is the non-coherent cumulative value on the second function curve, because the wireless signal is affected by multipath interference and thermal noise, the non-coherent cumulative value may be different from the ideal non-coherent cumulative value, and the The incoherent accumulated value is correspondingly subtracted from the ideal incoherent accumulated value to obtain a deviation value, which can reflect the quality of the input signal, and the smaller the deviation, the closer the input signal is to the ideal input signal. For example, as shown in Fig. 3 and Fig. 5, subtracting the ordinate of point A1 in Fig. 3 from the ordinate of point A in Fig. ⁵ is the deviation value, and the deviation value = y1- ^y11 .

Step S1004, counting the number of times the deviation value is greater than a preset threshold within a preset time.

The preset time is an observation time, for example, the preset time may be 1 to 5 seconds. The preset threshold is used to reflect whether the input signal has multipath interference, and if the deviation value is greater than the preset threshold, it indicates that the currently received wireless signal is subject to multipath interference.

Because the signal needs to be continuously observed, it cannot be shown that the wireless signal is subject to multipath interference based on the result of one observation, so continuous observation is required for a certain period of time. Because the signal is processed periodically, the calculation of the deviation value will be performed multiple times within the preset time.

It should be understood that if all the non-coherent accumulation values are subtracted from the corresponding ideal non-coherent accumulation values, there may be multiple deviation values greater than the preset threshold value. Therefore, in one observation, regardless of the deviation value greater than the preset threshold value How many there are, only the number of times is 1 time.

Step S1005, judging whether the number of times is greater than a preset number of times.

The preset time and preset times are set by technicians based on experience, for example, the preset time is 2 seconds, and the preset times are 10 times.

For example, if the number of times is 20 and the preset number of times is 10, then the number of times is greater than the preset number of times.

Step S1006, if the number of times is greater than or equal to the preset number of times, generate a first function curve according to the non-coherent accumulated value of the wireless signal.

If the number of times is greater than or equal to the preset number of times, it means that the wireless signal is subject to multipath interference, and error compensation for multipath interference is required, and step S101 and subsequent steps in the above embodiment are performed.

Step S1007, if the number of times is less than the preset number of times, then input the wireless signal into a correlator to perform a correlation operation to obtain the coherent accumulation data.

If the number of times is less than the preset number of times, it means that the wireless signal is not subject to multipath interference, and error compensation for multipath interference is not required. Step S1001 and subsequent steps of the above-mentioned embodiment are executed to input the received wireless signal into the correlation The device performs a correlation operation to obtain the coherent accumulation data.

In the embodiment of the present invention, a deviation value is obtained by subtracting the non-coherent cumulative value from the ideal non-coherent cumulative value; counting the number of times the deviation value is greater than a preset threshold within a preset time; judging whether the number of times is greater than a preset number of times ; If the number of times is greater than or equal to the preset number of times, it means that the wireless signal is indeed subject to multipath interference, and error compensation for errors caused by multipath interference is required; if the number of times is less than the preset number of times, it means that the wireless The signal is not subject to multipath interference, and error compensation for multipath interference is not required. The embodiment of the present invention provides a judgment basis for the above-mentioned ranging error compensation caused by multipath interference.

Referring to FIG. 8, FIG. 8 is a schematic flowchart of another wireless signal processing method provided by the present invention. As shown in FIG. 8, in the above embodiment, the method further includes steps S105 to S107.

Step S105, count the number of times that the mth correlator coherently processes the wireless signal within the preset number of observations to obtain the maximum non-coherent cumulative value, and obtain the probability of the mth correlator; based on the probability of the mth correlator, A probability distribution for M said correlators is determined.

Wherein, m is a positive integer smaller than M, and M is the total number of correlators.

Referring to FIG. 9, FIG. 9 is a schematic diagram of correlator jitter caused by thermal noise according to an embodiment of the present invention. Due to a weak signal environment or user movement, the received wireless signal is significantly disturbed by thermal noise, so that the time offset is 0 The correlator cannot accurately align the ranging code phase of the received signal, thereby forming random disturbances, resulting in that the autocorrelation function curve and the second function curve in a thermal noise environment as shown in FIG. 9 cannot overlap. As the signal continues to weaken, the random disturbance gradually strengthens, which in turn affects the ranging accuracy and positioning accuracy. The ranging code is a binary code sequence used to measure the distance from the satellite to the receiver. Due to the influence of thermal noise and the symbol width of the ranging code itself, the pseudo-range measurement value measured by the ranging code will be different. precise. Therefore, it is necessary to estimate the ranging accuracy of the ranging code of the input signal. The ranging accuracy is used to represent the ranging reliability of the ranging code of the input signal. The higher the reliability, the better the signal quality of the input signal , the more accurate the pseudo-range measurement value measured by the ranging code of the input signal is. When the measurement accuracy of the ranging code of the input signal is high, the system will increase the weight of the input signal to tell the position calculation algorithm to fully trust the pseudo-range measurement value measured by the ranging code of the input signal; otherwise, when the input signal When the ranging accuracy of the ranging code is low, it means that the signal quality of the input signal is poor, the system will reduce the weight of the input signal, and tell the position calculation algorithm not to trust the pseudo-range measured by the ranging code of the input signal Measurements.

In order to realize the continuous positioning function, it is necessary to continuously observe the wireless signal. The number of times that the mth correlator coherently processes the wireless signal within the preset number of observations to obtain the maximum non-coherent cumulative value, for example, in an embodiment of the present invention, including correlator A, correlator B and correlator C. Align the correlator B with the phase center of the ranging code of the input signal in advance, assuming that the preset number of observations is 100. If in 100 consecutive observations, correlator A coherently processes the wireless signal to obtain the maximum non-coherent cumulative value for 10 times, correlator B coherently processes the wireless signal to obtain the maximum non-coherent cumulative value for 80 times, correlator C coherently processes wireless signals to obtain the maximum non-coherent accumulation value for 10 times. Then the probability distribution of the maximum non-coherent accumulation value of the correlator A is 10%, the probability distribution of the maximum non-coherent accumulation value of the correlator B is 80%, and the probability distribution of the maximum non-coherent accumulation value of the correlator C is 10%. .

If the quality of the received wireless signal is very good, the maximum non-coherent cumulative value will appear in the correlator aligned with the phase center of the wireless signal ranging code each time, and finally the maximum non-coherent cumulative value of the three correlators A, B and C The probability distribution for will assume 0%, 100%, 0%. If the input signal is completely submerged in the thermal noise, the correlator B and its adjacent correlators A and C, which are originally aligned with the phase center of the ranging code, will not be able to exhibit a correlator gain higher than the noise variance, and finally A, B and C The probability distribution of the maximum non-coherent cumulative value of the three correlators will present a uniform distribution approaching 33%, 33%, and 33%.

Step S106, determining the ranging accuracy of the ranging code of the wireless signal according to the probability distribution.

Further, the determining the ranging accuracy of the ranging code according to the probability distribution includes:

The second preset table is queried according to the distribution rate, and the ranging accuracy of the ranging code corresponding to the distribution rate in the second preset table is obtained.

There is a certain correspondence between the probability distribution of the maximum non-coherent cumulative value and the ranging accuracy of the ranging code, and different probability distributions of the largest non-coherent cumulative value correspond to different ranging precisions of the ranging code. The processor obtains the specific corresponding relationship between the probability distribution of the maximum incoherent accumulated value obtained in the experiment and the ranging accuracy of the ranging code, and the corresponding relationship between the probability distribution of the maximum incoherent accumulated value and the ranging accuracy of the ranging code It is written into the second preset table, and when the probability distribution of the maximum non-coherent accumulation value is obtained, the ranging code ranging accuracy can be obtained by looking up the second preset table, and the second preset table is stored in the memory.

For example, in one embodiment of the present invention, the ranging accuracy of the ranging code can be divided into 0 to 9, and the probability distribution of different maximum non-coherent accumulation values corresponds to different ranging accuracy of the ranging code, for example, if the correlation The probability distribution of the maximum non-coherent accumulation value of A, B and C is 0%, 100%, 0%, then the ranging accuracy of the ranging code corresponding to the distribution rate can be divided into the highest level 9; if the correlator A The probability distributions of the maximum incoherent accumulation values of , B and C are 33%, 33%, and 33%, then the ranging accuracy of the ranging code corresponding to the probability distribution of the maximum incoherent accumulation values can be divided into the lowest level 0.

It should be understood that the division of the ranging accuracy of the ranging code can not only use the representation form of 0 to 9, but also the representation form of 0% to 100% or other representation forms. The division of the ranging accuracy of the ranging codes in the embodiments of the present invention is only an illustration, and does not constitute any limitation to the implementation process of the embodiments of the present invention.

Step S107, performing ranging error compensation of the ranging code of the wireless signal according to the ranging accuracy of the ranging code.

After obtaining the ranging accuracy of the ranging code, the ranging accuracy of the ranging code is used as the weight parameter of the position calculation algorithm to participate in the position calculation, which can reduce the influence of thermal noise on the ranging accuracy, so that the position calculation algorithm can calculate The positioning coordinates are more precise.

It should be noted that, in this embodiment of the present invention, step 101 and step 105 are executed simultaneously.

In the embodiment of the present invention, the probability of the mth correlator is obtained by counting the number of times that the mth correlator coherently processes the wireless signal within the preset number of observations to obtain the maximum non-coherent accumulation value; based on the mth correlator Probability, determining the probability distribution of the M correlators, determining the ranging accuracy of the ranging code of the wireless signal according to the probability distribution; performing the ranging error of the ranging code of the wireless signal according to the ranging accuracy of the ranging code compensate. The distance measurement error compensation can make up a part of the distance measurement error, thereby improving the distance measurement accuracy. For example, the technical solution provided by the embodiments of the present invention can reduce the ranging error caused by thermal noise, make the positioning result of positioning through wireless communication signals more accurate, and allow users to obtain accurate positioning coordinates in areas with weak wireless signal strength , improving the user experience.

Referring to FIG. 10 , FIG. 10 is a schematic block diagram of a wireless signal processing method provided by an embodiment of the present invention. As shown in FIG. 10 , first, the processor inputs the input signal into a correlator to perform a correlation operation to obtain coherent accumulation data, and then performing non-coherent accumulation on the coherent accumulation data to obtain a non-coherent accumulation value, and then generating an autocorrelation function curve according to the non-coherent accumulation value, comparing the autocorrelation function curve with the second function curve to obtain the ranging code phase offset and The ranging accuracy of the ranging code, the phase offset of the ranging code is used as the ranging error compensation parameter of the position solution algorithm, and the ranging accuracy of the ranging code is used as the weight parameter of the position solution algorithm, which reduces multipath interference and heat loss. The ranging error caused by noise makes the positioning result of positioning through wireless communication signals more accurate.

It should be understood that the sequence numbers of the steps in the above embodiments do not mean the order of execution, and the execution order of each process should be determined by its functions and internal logic, and should not constitute any limitation to the implementation process of the embodiment of the present invention.

Referring to FIG. 11, FIG. 11 is a schematic diagram of a wireless signal processing device provided by an embodiment of the present invention. As shown in FIG. 11, the device includes: a curve generation module 11, a slope determination module 12, a ranging code phase offset Determination module 13 and error compensation module 14 .

A curve generation module 11, configured to generate a first function curve according to the non-coherent accumulation value of the wireless signal;

A slope determination module 12, configured to determine the slope of a straight line formed by any two adjacent non-coherent accumulation values on the first function curve;

The ranging code phase offset determination module 13 determines the ranging code phase offset of the wireless signal according to the slope;

The error compensation module 14 is configured to perform ranging error compensation of the ranging code of the wireless signal according to the phase offset of the ranging code.

Further, the device also includes:

The statistical module 15 is used to count the number of times that the mth correlator coherently processes the wireless signal within the preset number of observations to obtain the maximum non-coherent cumulative value, and respectively obtains the maximum non-coherent cumulative value obtained by coherent processing of the wireless signal by the M coherents value, thereby obtaining the probability distribution of the maximum non-coherent cumulative value, wherein, m is a positive integer less than M, and M is the total number of correlators;

A ranging code ranging precision determining module 16, configured to determine the ranging code ranging precision of the wireless signal according to the probability distribution.

The error compensation module 14 is further configured to perform ranging error compensation of the ranging code of the wireless signal according to the ranging accuracy of the ranging code.

Fig. 12 is a schematic diagram of a terminal device provided by an embodiment of the present invention. As shown in FIG. 12 , the terminal device 8 of this embodiment includes: a processor 80 , a memory 81 , and a computer program 82 stored in the memory 81 and operable on the processor 80 . The terminal device further includes: a correlator 83 . When the processor 80 executes the computer program 82, it implements the steps in the various method embodiments above, such as steps 101 to 104 shown in FIG. 1 . Alternatively, when the processor 80 executes the computer program 82, the functions of the modules in the above-mentioned device embodiments are implemented, for example, the functions of the modules 11 to 14 shown in FIG. 11 . The correlator completes the correlation operation of the input signal, and sends the operation result to the processor 80 . Exemplarily, the computer program 82 can be divided into one or more modules, and the one or more modules are stored in the memory 81 and executed by the processor 80 to implement the present invention. The one or more modules may be a series of computer program instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the execution process of the computer program 82 in the terminal device 8 .

The terminal device may include, but not limited to, a processor 80 and a memory 81 . Those skilled in the art can understand that FIG. 12 is only an example of the terminal device 8, and does not constitute a limitation to the terminal device 8. It may include more or less components than those shown in the figure, or combine certain components, or different components. , for example, the terminal device may also include an input and output device, a network access device, a bus, and the like.

The so-called processor 80 may be a central processing unit (Central Processing Unit, CPU), and may also be other general-purpose processors, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), Off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.

The storage 81 may be an internal storage unit of the terminal device 8 , such as a hard disk or memory of the terminal device 8 . The memory 81 can also be an external storage device of the terminal device 8, such as a plug-in hard disk equipped on the terminal device 8, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, flash memory card (Flash Card), etc. Further, the memory 81 may also include both an internal storage unit of the terminal device 8 and an external storage device. The memory 81 is used to store the computer program and other programs and data required by the terminal device. The memory 81 can also be used to temporarily store data that has been output or will be output.

Those skilled in the art can clearly understand that for the convenience and brevity of description, only the division of the above-mentioned functional modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional modules according to needs. The internal structure of the device is divided into different functional modules to complete all or part of the functions described above. Each functional module in the embodiment can be integrated into one processing module, or each module can exist separately physically, or two or more modules can be integrated into one module, and the above-mentioned integrated modules can be implemented in the form of hardware , can also be implemented in the form of software function modules. In addition, the specific names of the functional modules are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the present application. For the specific working processes of the units and modules in the above system, reference may be made to the corresponding processes in the aforementioned method embodiments, and details will not be repeated here.

In the above-mentioned embodiments, the descriptions of each embodiment have their own emphases, and for parts that are not detailed or recorded in a certain embodiment, refer to the relevant descriptions of other embodiments.

Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal equipment and method may be implemented in other ways. For example, the device/terminal device embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units Or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or may be distributed to multiple network modules. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, each module may exist separately physically, or two or more modules may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules.

If the integrated modules are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the present invention realizes all or part of the processes in the methods of the above embodiments, and can also be completed by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer When the program is executed by the processor, the steps in the above-mentioned various method embodiments can be realized. . Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a removable hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (Read-Only Memory, ROM) , random access memory (Random Access Memory, RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, computer-readable media Excludes electrical carrier signals and telecommunication signals.

The above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still carry out the foregoing embodiments Modifications to the technical solutions recorded in the examples, or equivalent replacement of some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should be included in within the protection scope of the present invention.

Claims (11)

1. A method for processing a wireless signal, comprising:

generating a first function curve according to the incoherent accumulated value of the wireless signal;

determining the slope of a straight line formed by any two adjacent incoherent accumulated values on the first function curve;

determining a ranging code phase offset of the wireless signal according to the slope;

and compensating the ranging error of the ranging code of the wireless signal according to the phase offset of the ranging code.

2. The method of claim 1, wherein said determining a ranging code phase offset from a slope of the wireless signal comprises:

Subtracting the slope of a straight line formed by any two adjacent incoherent accumulated values on the second function curve from the slope of the straight line formed by any two adjacent incoherent accumulated values to obtain a slope deviation value;

inquiring a first preset table according to the slope deviation value, and acquiring the ranging code phase offset corresponding to the slope deviation value in the first preset table.

3. The method of claim 1, wherein prior to generating the first function curve from the incoherent accumulated value of the wireless signal, further comprising:

inputting the wireless signals into a correlator to perform correlation operation to obtain coherent accumulated data;

and performing incoherent accumulation on the coherent accumulation data to obtain an incoherent accumulation value.

4. The method of claim 3 wherein said non-coherently accumulating said coherently accumulated data to obtain said non-coherently accumulated value further comprises:

subtracting the incoherent accumulated value from the ideal incoherent accumulated value to obtain an offset value;

counting the times that the deviation value is larger than a preset threshold value in preset time;

judging whether the times are larger than preset times or not;

and if the times are greater than or equal to the preset times, generating a first function curve according to the incoherent accumulated value of the wireless signal.

5. The method of claim 4, wherein after determining whether the number of times is greater than a preset number of times, further comprising:

and if the frequency is smaller than the preset frequency, inputting the wireless signal into a correlator to perform correlation operation to obtain the coherent accumulation data.

6. The method of claim 1, wherein the method further comprises:

counting the number of times of obtaining the maximum incoherent accumulated value by the mth correlator in the preset observation times for the coherent processing of the wireless signal, and obtaining the probability of the mth correlator;

determining probability distribution of M correlators based on the probability of the mth correlator;

wherein M is a positive integer less than or equal to M, and M is the total number of the correlators;

determining the ranging accuracy of the ranging codes of the wireless signals according to the probability distribution;

and according to the ranging accuracy of the ranging code, performing ranging error compensation of the ranging code of the wireless signal.

7. The method of claim 6, wherein the determining ranging code ranging accuracy of the wireless signal based on the probability distribution comprises:

inquiring a second preset table according to the probability distribution, and acquiring ranging accuracy of ranging codes corresponding to the probability distribution in the second preset table.

8. A wireless signal processing apparatus, comprising:

the curve generation module is used for generating a first function curve according to the incoherent accumulated value of the wireless signal;

the slope determining module is used for determining the slope of a straight line formed by any two adjacent incoherent accumulated values on the first function curve;

a ranging code phase offset determining module for determining a ranging code phase offset of the wireless signal according to the slope;

and the error compensation module is used for compensating the ranging error of the ranging code of the wireless signal according to the phase offset of the ranging code.

9. The apparatus of claim 8, wherein the apparatus further comprises:

the statistics module is used for counting the times of obtaining the maximum incoherent accumulated value by the mth correlator on the coherent processing of the wireless signal in the preset observation times, and obtaining the probability of the mth correlator; determining probability distribution of M correlators based on the probability of the mth correlator, wherein M is a positive integer smaller than M, and M is the total number of the correlators;

and the ranging code ranging precision determining module is used for determining the ranging code ranging precision of the wireless signal according to the probability distribution.

10. A terminal comprising a processor, a correlator, an input device, an output device and a memory, the processor, correlator, input device, output device and memory being interconnected, wherein the memory is adapted to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 1-7.

11. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1-7.

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