WO2017148207A1

WO2017148207A1 - Method and apparatus for calculating correlation between terminals

Info

Publication number: WO2017148207A1
Application number: PCT/CN2016/112064
Authority: WO
Inventors: 吴昊
Original assignee: 中兴通讯股份有限公司
Priority date: 2016-03-04
Filing date: 2016-12-26
Publication date: 2017-09-08
Also published as: CN107154904B; CN107154904A

Abstract

The present invention relates to a method and apparatus for calculating a correlation between terminals. The method comprises: receiving a channel sounding reference signal (SRS) sequence sent by different terminals and estimating a channel response of an SRS corresponding to different terminals according to received data; according to a pre-set condition, screening a pre-set number of resource blocks (RBs) from RBs of the SRS to form a target RB, wherein the pre-set condition comprises a uniform sampling principle; acquiring the channel response of the SRS corresponding to the target RB of different terminals at each antenna of a receiving end, and obtaining an RB correlation between target RBs corresponding to different terminals by means of calculation; and according to RB correlation calculation, obtaining a correlation between terminals by means of calculation. The present invention improves the convenience and accuracy of correlation calculation.

Description

Method and device for calculating correlation between terminals

The present application is filed on the basis of the Chinese Patent Application No. WO 201610124890.6, filed on March 4, 2016, the priority of which is hereby incorporated by reference.

Technical field

The present invention relates to the field of communications technologies, and in particular, to a method and apparatus for calculating correlation between terminals.

Background technique

With the development of wireless communication technology, people communicate and communicate through various communication systems. Orthogonal Frequency Division Multiplexing (OFDM) is used as a kind of high spectrum utilization and good multipath resistance. High-speed transmission technology has been successfully applied in various fields such as digital audio broadcasting, digital video broadcasting, and wireless LAN.

In the OFDM system, SRS (Sounding Reference Signals) can be used to estimate the channel response of the terminal user to the base station. For systems with symmetry for the uplink and downlink channels, such as a TDD (time division duplexing) system, the base station utilizes the terminal. The channel response to the base station obtains the channel response from the base station to the terminal, and the channel response base station can calculate the correlation between different terminals, but the existing method for calculating the correlation has the problems of high computational complexity and low computational accuracy.

Summary of the invention

Based on this, it is necessary to provide a calculation method and device for inter-terminal correlation for the above technical problems, which can more conveniently and accurately calculate the correlation between terminals.

A method for calculating correlation between terminals, the method comprising:

Receiving a channel sounding reference signal SRS sequence sent by different terminals and estimating a channel response of the SRS corresponding to the different terminal according to the received data;

Filtering a preset number of RBs to form a target RB from the resource block RB of the SRS according to a preset condition, where the preset condition includes a uniform sampling principle;

Obtaining SRS channel responses corresponding to the antennas of the target RBs of different terminals at the receiving end, and calculating RB correlations between the target RBs corresponding to different terminals;

Correlation between terminals is obtained according to the RB correlation calculation.

In one embodiment, the preset condition further includes removing the RB corresponding to the DC component and removing the edge RB of the SRS.

In one of the embodiments, the preset number is eight.

In one of the embodiments, the step of calculating the RB correlation between the target RBs corresponding to different terminals includes:

Normalizing the SRS channel response to obtain a standard SRS channel response;

The RB correlation between the target RBs corresponding to different terminals is obtained according to the standard SRS channel response corresponding to each antenna of the receiving end of the target RBs of different terminals.

In one of the embodiments, the step of normalizing the SRS channel response to obtain a standard SRS channel response includes:

According to the formula

Calculate the standard SRS channel response H _SRS (ka, m, i), where H(ka, m, i) is the SRS channel response, m is the index of the target RB, i is the terminal index for calculating the correlation, and ka is the receiving end Antenna index, Rx is the total number of antennas at the receiving end;

The step of calculating the RB correlation between the target RBs corresponding to the different terminals according to the standard SRS channel response corresponding to the target RBs of the different terminals at the receiving end includes:

According to the formula

The RB correlation corr(m, i, j) between the target RBs of the index m corresponding to the terminal i and the terminal j is calculated, where i and j are terminal indexes.

In one of the embodiments, the step of calculating the correlation between the terminals according to the RB correlation includes:

And modulating the RB correlation to obtain a corresponding RB correlation modulus value;

The RB correlation modulus values corresponding to the target RB are averaged to obtain a correlation between the terminals.

A computing device for inter-terminal correlation, the device comprising:

a channel response estimation module, configured to receive a channel sounding reference signal SRS sequence sent by different terminals, and estimate a channel response of the SRS corresponding to the different terminal according to the received data;

a target RB determining module, configured to filter a preset number of RBs to form a target RB from resource blocks RB of the SRS according to a preset condition, where the preset condition includes a uniform sampling principle;

The RB correlation calculation module is configured to obtain SRS channel responses corresponding to the antennas of the target RBs of different terminals at the receiving end, and calculate RB correlations between the target RBs corresponding to different terminals;

And a terminal correlation calculation module, configured to calculate a correlation between the terminals according to the RB correlation.

In one of the embodiments, the preset number is eight.

In one embodiment, the RB correlation calculation module includes:

a normalization unit, configured to normalize the SRS channel response to obtain a standard SRS channel response;

The RB correlation calculation unit is configured to calculate RB correlations between target RBs corresponding to different terminals according to standard SRS channel responses corresponding to the antennas of the target RBs of different terminals.

In one of the embodiments, the normalization unit is further used according to a formula

The RB correlation calculation unit is further configured to

In one embodiment, the terminal correlation calculation module includes:

a modulus calculation unit, configured to modulo the RB correlation to obtain a corresponding RB correlation modulus value;

The terminal correlation calculation unit is configured to average the RB correlation modulus values corresponding to the target RB to obtain correlation between the terminals.

The method and device for calculating the inter-terminal correlation are performed by receiving the channel sounding reference signal SRS sequence sent by different terminals and estimating the channel response of the SRS corresponding to the different terminal according to the received data, and from the resource block RB of the SRS according to the preset condition. The preset number of RBs is configured to form a target RB, and the preset condition includes a uniform sampling principle, and the SRS channel responses corresponding to the antennas of the target RBs of different terminals at the receiving end are obtained, and the RB correlation between the target RBs corresponding to different terminals is calculated. According to the RB correlation calculation, the correlation between the terminals is obtained, and the SRS channel response corresponding to all the RBs is not required to be obtained, and only the preset number of RBs are configured by the preset condition to form the target RB, and the final terminal can be calculated. Correlation, low computational complexity, and Uniform sampling is adopted during screening to ensure the reliability of the data. The correlation between the terminals is obtained by calculating the RB correlation between the target RBs corresponding to different terminals, which improves the convenience and accuracy of correlation calculation.

DRAWINGS

1 is a flow chart of a method for calculating correlation between terminals in an embodiment;

2 is a flow chart for calculating RB correlation in one embodiment;

3 is a flowchart of calculating correlation between terminals according to RB correlation in one embodiment;

4 is a structural block diagram of a computing device for inter-terminal correlation in an embodiment;

FIG. 5 is a structural block diagram of an RB correlation calculation module in an embodiment; FIG.

FIG. 6 is a structural block diagram of a terminal correlation calculation module in an embodiment.

detailed description

In an embodiment, as shown in FIG. 1, a method for calculating inter-terminal correlation is provided, including:

Step S110: Receive a channel sounding reference signal SRS sequence sent by different terminals, and estimate channel responses of SRSs corresponding to different terminals according to the received data.

Specifically, the SRS sequence sent by the terminal needs to be sent according to the communication protocol, and the SRS sequences sent by different protocols are different, such as the WiMAX protocol, the UMTS protocol, and the SRS sequence sent by the terminal under the LTE protocol are different. The two terminals transmitting the SRS sequence for calculating the correlation may be transmitted at different times, or may be transmitted by using different resource blocks RB (Resource Block) at the same time. When calculating the channel response, the channel estimation method can be customized, such as LS, FFT, MMSE, etc. For example, for LS channel estimation, it is assumed that the SRS sequence sent by the terminal is x, and the data received by the base station is y, between the terminal and the base station. The channel response is h and the system noise is n. The s = hx + n can be obtained, then the estimated SRS channel response is y / x. According to the terminal index, the RB index of the SRS, and the antenna index of the base station, a channel response can be determined, which can be expressed as H(ka, m, i), where m is an index of the RB, and i is a terminal index for calculating the correlation, ka The antenna index for the receiving end.

Step S120: Filter a preset number of RBs to form a target RB from the resource block RB of the SRS according to a preset condition, where the preset condition includes a uniform sampling principle.

Specifically, the uniform sampling principle refers to that when the target RBs are selected from the total resource blocks RB occupied by the SRS sequence, the selected target RBs are dispersed and evenly distributed in the frequency band, because the signals of different frequencies are passing through the channel. The physical phenomena such as attenuation, reflection, and scattering experienced differently, resulting in slightly different signal correlations at different frequencies. The uniform distribution of the target RBs over the entire frequency band can ensure ergodicity. The preset number can be as needed Custom, as defined as 8, 4, etc. In addition to the uniform sampling principle, the conditions of other screening target RBs can be determined according to the characteristics of channel transmission, such as the performance characteristics of RB channel estimation near the DC component and the bandwidth edge effect of the frequency domain channel estimation. Bandegde Effect and Gibbs Gibbs Phenomenon determines the corresponding preset condition. The different terminals that calculate the correlation get the same preset conditions of the target RB, and the preset number is also the same.

In one embodiment, the preset number is eight.

Specifically, since there is a certain noise in the channel estimation, the correlation can obtain a certain noise reduction effect by weighting the correlation of the eight RBs, and the number 8 is moderate, and the reliability of the data is ensured on the basis of reducing the complexity. .

Step S130: Acquire SRS channel responses corresponding to the antennas of the target RBs of different terminals at the receiving end, and calculate RB correlations between the target RBs corresponding to different terminals.

Specifically, for the terminal i and the terminal j that calculate the correlation, the same target RB is obtained, and the target RB is {RB _a1 , RB _a2 ... RB _an }, and if the total number of antennas at the receiving end is t, the following steps are performed:

For the target RB _{a1 of the} index m=a1, the SRS channel responses of the acquiring terminal i at each antenna are H(1, a1, i), H(2, a1, i), H(3, a1, i), respectively. ...H(t, a1, i), the SRS channel responses of the acquisition terminal j at each antenna are H(1, a1, j), H(2, a1, j), H(3, a1, j), respectively. ...H(t, a1, j), the RB correlation corr (a1, i, j) between the target RB _{a1 of the} index m = a1 is calculated by the correlation algorithm according to the same SRS channel response of the antenna indices matched by the two terminals. ).

For the target RB _{a2 of the} index m=a2, the SRS channel responses of the acquiring terminal i at each antenna are H(1, a2, i), H(2, a2, i), H(3, a2, i), respectively. ...H(t, a2, i), the SRS channel responses of the acquisition terminal j at each antenna are H(1, a2, j), H(2, a2, j), H(3, a2, j), respectively. ...H(t, a2, j), the RB correlation corr (a2, i, j) between the target RB _{a1 of the} index m = a2 is calculated by the correlation algorithm according to the same SRS channel response of the antenna indices matched by the two terminals. ).

Until all the RB correlations between the target RBs corresponding to different terminals are completed, corr(a1, i, j), corr(a2, i, j), ... corr(an, i, j), where the correlation is calculated The specific correlation algorithm can be customized as needed, and the SRS channel response can be pre-processed, such as performing normalization operations, before calculating the correlation.

Step S140, calculating correlation between the terminals according to the RB correlation calculation.

Specifically, after obtaining the RB correlation between the target RBs, the RB correlations of different RB indexes may be weighted, and the size of the weighting factors may be customized according to requirements, and the weighting factors of RB correlations of different RB indexes may be used. Can be the same or different. The correlation between the terminals is obtained by averaging in one embodiment. It is also possible to perform modulo-value calculation and the like on each RB correlation of different RB indexes, and then perform weighting to obtain a final result.

In this embodiment, the channel sounding reference signal SRS sequence sent by different terminals is received, and the channel response of the SRS corresponding to different terminals is estimated according to the received data, and a preset number of RBs are filtered from the resource block RB of the SRS according to a preset condition. The target RB is formed, and the preset condition includes a uniform sampling principle, and the SRS channel response corresponding to each antenna of the target RB of the different terminal at the receiving end is obtained, and the RB correlation between the target RBs corresponding to different terminals is calculated, and the RB correlation is calculated according to the RB correlation. Obtaining the correlation between the terminals does not need to obtain the SRS channel response corresponding to all the RBs, and only needs to filter the preset number of RBs to form the target RBs by using preset conditions, and the correlation between the final terminals can be calculated, and the operation complexity is calculated. It is low, and uniform sampling is adopted during screening to ensure the reliability of the data. The correlation between the terminals is obtained by calculating the RB correlation between the target RBs corresponding to different terminals, and the convenience and accuracy of correlation calculation are improved.

In an embodiment, the preset condition further includes removing the RB corresponding to the DC component and removing the edge RB of the SRS.

Specifically, since the data received by the baseband is likely to have a strong DC component, the estimation performance of the RB channel near the DC component is seriously deteriorated, and the correlation accuracy obtained by using the RB which is more severely deteriorated is not high, so the selected target is selected. RB needs to avoid the DC component to improve data reliability. The frequency domain channel estimation has Bandedge effect and Gibbs phenomenon, which leads to the deterioration of edge RB channel estimation. The correlation accuracy of these RBs with more serious deterioration is not high, so the selected target RB avoids each The edge RB of the secondary SRS transmission, such as the range of one SRS is 4RB-27RB, then the 4RB and 27RB are edge RBs. The preset condition further includes removing the RB corresponding to the DC component and removing the edge RB of the SRS, thereby further improving the accuracy of the correlation calculation.

In an embodiment, as shown in FIG. 2, the step of calculating the RB correlation between the target RBs corresponding to different terminals in step S130 includes:

Step S131, normalizing the SRS channel response to obtain a standard SRS channel response;

Step S132: Calculate RB correlation between target RBs corresponding to different terminals according to standard SRS channel responses corresponding to the antennas of the target RBs of different terminals.

Specifically, normalization is a process of standardizing data before data analysis, and using standardized data for data analysis. Customizable functions can be normalized to select commonly used normalization algorithms, such as linear function normalization algorithm and zero mean normalization algorithm. By normalizing the SRS channel response into a standard SRS channel response, the comparability between SRS channel responses corresponding to different RBs is improved.

In an embodiment, step S131 includes:

According to the formula

Calculate the standard SRS channel response H _SRS (ka, m, i), where H(ka, m, i) is the SRS channel response, m is the index of the target RB, i is the terminal index for calculating the correlation, and ka is the receiving end Antenna index, Rx is the total number of antennas at the receiving end.

Specifically, the conjugate calculation method is used to normalize the SRS channel response corresponding to all the receiving antennas of each target RB to a normalized range, so that the normalized result is more in line with the characteristics of the channel transmission, thereby performing subsequent calculations. The correlation between terminals is more accurate.

Step S132 includes: according to the formula

Specifically, if the total number of antennas at the receiving end Rx is t and the target RB is {RB _a1 , RB _a2 ... RB _an }, then

Calculate the RB correlation corresponding to each target RB separately, such as

......

In an embodiment, as shown in FIG. 3, step S140 includes:

Step S141, modulating the RB correlation to obtain a corresponding RB correlation modulus value.

Specifically, by the formula abs(corr(m,i,j))=sqrt(real(corr(m,i,j)) ² +imag(corr(m,i,j)) ² ) for corr(m, i, j) Calculate the modulus value to obtain the RB correlation modulus value abs(corr(m, i, j)).

Step S142, averaging the RB correlation modulus values corresponding to the target RB to obtain correlation between the terminals.

Specifically, the target RB has a corresponding RB correlation modulus value, and the correlation between the terminals is obtained by averaging calculation, so that the correlation is uniform for the transmission characteristics of multiple RBs, and the calculation result is more reliable.

The process of calculating the inter-terminal correlation is described in detail in the following two specific embodiments. In the first specific embodiment, the RB starting position occupied by the SRS sequence is 4 RBs, and the bandwidth occupied by the SRS sequence is sent once. For 24 RB, the system bandwidth is 100 RBs, and each terminal needs to send 4 SRS sequences. The specific process is as follows:

Step A: Receive the channel sounding reference signal SRS sequence sent by the terminal i and the terminal j and estimate the channel response of the SRS corresponding to the terminal i and the terminal j by the MMSE channel estimation method according to the received data.

Step B: Filtering 8 RBs from the resource block RB of the SRS to form a target RB according to a preset condition, the preset condition includes a uniform sampling principle, and removing the RB corresponding to the DC component. In this embodiment, the RB corresponding to the DC component is 50 RB, and The edge RB of the SRS is removed. Based on the preset conditions, the eight RB indexes selected are as follows: 8/20/32/44/56/68/80/92.

Step C: normalize the SRS channel response corresponding to the 8 RBs to obtain a standard SRS channel response, and the formula is as follows:

Where m is the target RB index value range is [8, 20, 32, 44, 56, 68, 80, 92], for terminal i to calculate H _SRS (ka, m, i), terminal j calculates H _SRS (ka, m, j), where ka ∈ [0 - (Rx - 1)], Rx is the total number of antennas at the receiving end.

Step D: Calculate the RB correlation between the target RB corresponding to the terminal i and the terminal j according to the standard SRS channel response, and the formula is as follows:

Calculate corr(8,i,j)=0.21-0.11j, corr(20,i,j)=0.22-0.14j, corr(32,i,j)=0.19-0.15j,corr(44,i, j) = 0.21 - 0.11j, corr (56, i, j) = 0.23 - 0.13j, corr (68, i, j) = 0.25 - 0.15j, corr (80, i, j) = 0.18 - 0.12j, Corr(92, i, j) = 0.20-0.14j.

Step E: Solving the RB correlation corr(m, i, j) to obtain the corresponding RB correlation modulus value abs(corr(m, i, j)), the formula is as follows:

Abs(corr(m,i,j))=sqrt(real(corr(m,i,j)) ² +imag(corr(m,i,j)) ² ), the result is abs(corr(8, i, j)) = 0.24, abs(corr(20, i, j)) = 0.26, abs(corr(32, i, j)) = 0.24, abs(corr(44, i, j)) = 0.24, Abs(corr(56,i,j))=0.26,abs(corr(68,i,j))=0.29,abs(corr(80,i,j))=0.21,abs(corr(92,i, j)) = 0.24.

Step F: averaging the respective RB correlation modulus values to obtain a correlation between the final terminal i and the terminal j, corr(i, j)=0.25.

In the second specific embodiment, the RB starting position occupied by the SRS sequence is 4 RB, and the SRS is sent once. The bandwidth occupied by the sequence is 24 RBs, the system bandwidth is 50 RBs, and each terminal needs to send 2 SRS sequences. The specific process is as follows:

Step B: Filtering 8 RBs from the resource block RB of the SRS to form a target RB according to a preset condition, the preset condition includes a uniform sampling principle, and removing the RB corresponding to the DC component. In this embodiment, the RB corresponding to the DC component is 25 RB, and The edge RB of the SRS is removed. Based on the preset conditions, the eight RB indexes selected are as follows: 4/9/16/21/28/33/40/45.

Where m is the target RB index value range is [4,9,16,21,28,33,40,45], for terminal i to calculate H _SRS (ka,m,i), terminal j calculates H _SRS (ka, m, j), where ka ∈ [0 - (Rx - 1)], Rx is the total number of antennas at the receiving end.

Calculate corr(4,i,j)=0.21-0.11j, corr(9,i,j)=0.22-0.14j, corr(16,i,j)=0.19-0.15j,corr(21,i, j) = 0.21 - 0.11j, corr (28, i, j) = 0.23 - 0.13j, corr (33, i, j) = 0.25 - 0.15j, corr (40, i, j) = 0.18 - 0.12j, Corr(45, i, j) = 0.20-0.14j.

Abs(corr(m,i,j))=sqrt(real(corr(m,i,j)) ² +imag(corr(m,i,j)) ² ), the result is abs(corr(4, i,j))=0.24, abs(corr(9,i,j))=0.26, abs(corr(16,i,j))=0.24,abs(corr(21,i,j))=0.24, Abs(corr(28,i,j))=0.26,abs(corr(33,i,j))=0.29,abs(corr(40,i,j))=0.21,abs(corr(45,i, j)) = 0.24.

It can be seen from the calculation results of the above specific embodiments that the correlation between the calculated terminal i and the terminal j is the same under different system bandwidths, and it can be seen that the method is convenient to calculate, is not affected by the bandwidth, and has high accuracy of calculation results. .

In an embodiment, as shown in FIG. 4, a computing device for inter-terminal correlation is provided, including:

The channel response estimation module 210 is configured to receive a channel sounding reference signal SRS sequence sent by different terminals, and estimate a channel response of the SRS corresponding to the different terminal according to the received data.

The target RB determining module 220 is configured to filter a preset number of RBs to form a target RB from the resource block RB of the SRS according to a preset condition, where the preset condition includes a uniform sampling principle.

The RB correlation calculation module 230 is configured to acquire SRS channel responses corresponding to the antennas of the target RBs of different terminals at the receiving end, and calculate RB correlations between the target RBs corresponding to different terminals.

The terminal correlation calculation module 240 is configured to calculate correlation between the terminals according to the RB correlation.

In one embodiment, the preset number is eight.

In one embodiment, the RB correlation calculation module 230 includes:

The normalization unit 231 is configured to normalize the SRS channel response to obtain a standard SRS channel response.

The RB correlation calculation unit 232 is configured to calculate, according to the standard SRS channel response corresponding to each antenna of the receiving end, the RB correlation between the target RBs corresponding to different terminals.

In one embodiment, the normalization unit 231 is also used to formulate

The RB correlation calculation unit 232 is also used to formulate

In an embodiment, as shown in FIG. 6, the terminal correlation calculation module 240 includes:

The modulus calculation unit 241 is configured to model the RB correlation to obtain a corresponding RB correlation modulus.

The terminal correlation calculation unit 242 is configured to average the RB correlation modulus values corresponding to the target RB to obtain correlation between the terminals.

A person skilled in the art can understand that all or part of the process of implementing the above embodiments can be completed by a computer program to instruct related hardware, and the program can be stored in a computer readable storage medium, such as the present invention. In an embodiment, the program can be stored in a storage medium of the computer system and executed by at least one processor in the computer system to implement a process comprising an embodiment of the methods as described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

Each module or unit in the above-described inter-terminal correlation computing device may pass through one or more digital signal processors (DSPs), application specific integrated circuits (ASICs), processors, microprocessors, controllers, microcontrollers, and on-site Implemented by a programmable array (FPGA), programmable logic device, or other electronic unit, or any combination thereof. Some of the functions or processes described in this application embodiment may also be implemented by software executing on a processor.

For example, the embodiment of the present invention further provides a computing device for inter-terminal correlation, for example, the device can be applied to a base station, including:

processor;

a memory for storing processor executable instructions;

Wherein the processor is configured to:

Industrial applicability

The method and apparatus of the present application are applicable to the field of communications and are primarily applicable to the calculation of the correlation between base stations for terminals with which they communicate. According to the RB correlation calculation, the correlation between the terminals is obtained, and it is not necessary to acquire all the RBs. Corresponding SRS channel response, only need to filter a preset number of RBs to form a target RB through preset conditions, and the correlation between the final terminals can be calculated, the operation complexity is low, and uniform sampling is adopted during screening to ensure data. Reliability, the correlation between terminals is obtained by calculating the RB correlation between target RBs corresponding to different terminals, and the convenience and accuracy of correlation calculation are improved.

The technical features of the above-described embodiments may be arbitrarily combined. For the sake of brevity of description, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction between the combinations of these technical features, All should be considered as the scope of this manual.

The above-described embodiments are merely illustrative of several embodiments of the present invention, and the description thereof is more specific and detailed, but is not to be construed as limiting the scope of the invention. It should be noted that a number of variations and modifications may be made by those skilled in the art without departing from the spirit and scope of the invention. Therefore, the scope of the invention should be determined by the appended claims.

Claims

A method for calculating correlation between terminals, wherein the method includes:

Receiving a channel sounding reference signal SRS sequence sent by different terminals and estimating a channel response of the SRS corresponding to the different terminal according to the received data;

Filtering a preset number of RBs to form a target RB from the resource block RB of the SRS according to a preset condition, where the preset condition includes a uniform sampling principle;

Obtaining SRS channel responses corresponding to the antennas of the target RBs of different terminals at the receiving end, and calculating RB correlations between the target RBs corresponding to different terminals;

Correlation between terminals is obtained according to the RB correlation calculation.
The method according to claim 1, wherein the preset condition further comprises removing an RB corresponding to a DC component and removing an edge RB of the SRS.
The method of claim 1 wherein said predetermined number is eight.
The method according to claim 1, wherein the calculating the RB correlation between the target RBs corresponding to different terminals comprises:

Normalizing the SRS channel response to obtain a standard SRS channel response;

The RB correlation between the target RBs corresponding to different terminals is obtained according to the standard SRS channel response corresponding to each antenna of the receiving end of the target RBs of different terminals.
The method of claim 4 wherein said step of normalizing said SRS channel response to obtain a standard SRS channel response comprises:

According to the formula
Calculate the standard SRS channel response H SRS (ka, m, i), where H(ka, m, i) is the SRS channel response, m is the index of the target RB, i is the terminal index for calculating the correlation, and ka is the receiving end Antenna index, Rx is the total number of antennas at the receiving end;

The step of calculating the RB correlation between the target RBs corresponding to the different terminals according to the standard SRS channel response corresponding to the target RBs of the different terminals at the receiving end includes:

According to the formula
The RB correlation corr(m, i, j) between the target RBs of the index m corresponding to the terminal i and the terminal j is calculated, where i and j are terminal indexes.
The method of claim 1, wherein said calculating a terminal based on said RB correlation The steps between the correlations include:

And modulating the RB correlation to obtain a corresponding RB correlation modulus value;

The RB correlation modulus values corresponding to the target RB are averaged to obtain a correlation between the terminals.
A computing device for inter-terminal correlation, wherein the device comprises:

a channel response estimation module, configured to receive a channel sounding reference signal SRS sequence sent by different terminals, and estimate a channel response of the SRS corresponding to the different terminal according to the received data;

a target RB determining module, configured to filter a preset number of RBs to form a target RB from resource blocks RB of the SRS according to a preset condition, where the preset condition includes a uniform sampling principle;

The RB correlation calculation module is configured to acquire SRS channel responses corresponding to the antennas of the target RBs of different terminals at the receiving end, and calculate RB correlations between the target RBs corresponding to different terminals;

The terminal correlation calculation module is configured to calculate a correlation between the terminals according to the RB correlation.
The apparatus according to claim 6, wherein the preset condition further comprises removing an RB corresponding to a DC component and an edge RB removing the SRS.
The apparatus of claim 6 wherein said predetermined number is eight.
The apparatus of claim 6, wherein the RB correlation calculation module comprises:

a normalization unit configured to normalize the SRS channel response to obtain a standard SRS channel response;

The RB correlation calculation unit is configured to calculate RB correlations between target RBs corresponding to different terminals according to standard SRS channel responses corresponding to the antennas of the target RBs of different terminals.
The apparatus according to claim 10, wherein said normalization unit is further set according to a formula
Calculate the standard SRS channel response H SRS (ka, m, i), where H(ka, m, i) is the SRS channel response, m is the index of the target RB, i is the terminal index for calculating the correlation, and ka is the receiving end Antenna index, Rx is the total number of antennas at the receiving end;

The RB correlation calculation unit is further configured to
The RB correlation corr(m, i, j) between the target RBs of the index m corresponding to the terminal i and the terminal j is calculated, where i and j are terminal indexes.
The apparatus of claim 6, wherein the terminal correlation calculation module comprises:

a modulus calculation unit configured to modulo the RB correlation to obtain a corresponding RB correlation modulus value;

a terminal correlation calculation unit, configured to average the RB correlation modulus values corresponding to the target RB to obtain a terminal The correlation between them.