WO2022267367A1

WO2022267367A1 - Channel matrix processing method and device, and storage medium

Info

Publication number: WO2022267367A1
Application number: PCT/CN2021/136455
Authority: WO
Inventors: 陆海涛; 杨立君; 陈伯庆; 郭林
Original assignee: 中兴通讯股份有限公司
Priority date: 2021-06-25
Filing date: 2021-12-08
Publication date: 2022-12-29
Also published as: CN115529067A

Abstract

The present invention provides a channel matrix processing method and device, and a storage medium. The method comprises: obtaining a channel matrix and a unitary matrix; performing unitary transformation on the channel matrix according to the unitary matrix to obtain a beam space matrix corresponding to the channel matrix; and performing de-redundancy processing on the channel matrix according to the beam space matrix and the unitary matrix to obtain a target channel matrix.

Description

Channel matrix processing method, device and storage medium

Cross References to Related Applications

This application claims the priority of the Chinese patent application CN202110714648.5 filed on June 25, 2021, entitled "Channel matrix processing method, device and storage medium", the entire content of which is incorporated into this application by reference.

technical field

The present disclosure relates to the technical field of communications, and in particular to a channel matrix processing method, device and storage medium.

Background technique

With the development of the fifth-generation mobile communication technology, the data exchanged in the wireless channel will increase exponentially, and the Multiple-in Multiple-out (MIMO) system has become a commonly used communication technology. Using the MIMO system will exchange more information that needs to be kept secret, such as financial data, personal privacy, and military secrets. Therefore, modern communications put forward higher requirements for the security of wireless channels. However, the broadcast characteristics of wireless channels threaten the reliability of transmission. It is easier for third parties to eavesdrop on the data information transmitted in the channel, and even launch attacks in the wireless channel, resulting in information leakage and interruption of legal communication.

The current traditional encryption technology is based on computational complexity and assumes that the attacker's computing power is limited, and it is difficult to distribute and manage keys. The time-varying, uniqueness, reciprocity and other inherent properties of the wireless channel based on the key extraction technology based on the physical layer characteristics of the wireless channel generate a shared key for both communication parties, but in the process of generating the physical layer key of the MIMO system, due to the channel The change is slow, or the frequency of channel detection is accelerated in order to increase the key generation rate, resulting in high redundancy between the obtained adjacent sampling values. In the prior art, principal component analysis (Principal Components Analysis, PCA) or discrete Cosine transform (Discrete Cosine Transform, DCT) de-redundancy the sampling value, but the de-redundancy effect is not good, making the security of the key generated by the sampling value low. Therefore, how to reduce the redundancy of sampled values and improve the security of generated keys is an urgent problem to be solved.

Contents of the invention

The present disclosure provides a channel matrix processing method, a terminal device and a storage medium, aiming at reducing the redundancy of CSI sampling values so that the security of the generated key is higher.

In the first aspect, an embodiment of the present disclosure provides a method for processing a channel matrix, including: obtaining a channel matrix and a unitary matrix; performing unitary transformation on the channel matrix according to the unitary matrix to obtain a beam space matrix corresponding to the channel matrix; according to the beam space matrix and the unitary matrix matrix, performing de-redundancy processing on the channel matrix to obtain the target channel matrix.

In the second aspect, the embodiment of the present disclosure also provides a terminal device, the terminal device includes a processor, a memory, a computer program stored on the memory and executable by the processor, and a computer program for realizing connection and communication between the processor and the memory A data bus, wherein when the computer program is executed by the processor, the steps of any one of the channel matrix processing methods provided in the present disclosure are realized.

In a third aspect, an embodiment of the present disclosure further provides a storage medium for computer-readable storage. The storage medium stores one or more programs, and one or more programs can be executed by one or more processors to Steps for implementing any one of the channel matrix processing methods provided in the present disclosure.

Description of drawings

FIG. 1 is a schematic flowchart of a channel matrix processing method provided by an embodiment of the present disclosure;

FIG. 2 is a schematic diagram of a scenario of a channel matrix processing method provided by an embodiment of the present disclosure;

Fig. 3 is a schematic flow chart of the sub-steps of the channel matrix processing method in Fig. 1;

FIG. 4 is a schematic flowchart of another channel matrix processing method provided by an embodiment of the present disclosure;

Fig. 5 is a schematic structural block diagram of a terminal device provided by an embodiment of the present disclosure.

detailed description

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

The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations/steps, nor must they be performed in the order described. For example, some operations/steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation.

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

Embodiments of the present disclosure provide a channel matrix processing method, a terminal device, and a storage medium. The channel matrix processing method can be applied to terminal equipment, and the terminal equipment can be electronic equipment such as mobile phones, tablet computers, notebook computers, desktop computers, and personal digital assistants. The channel matrix processing method can also be applied to communication systems, for example, the communication system obtains the channel matrix and the unitary matrix; then according to the unitary matrix, the channel matrix is unitarily transformed to obtain the beam space matrix corresponding to the channel matrix; then according to the beam space matrix and The unitary matrix performs deredundancy processing on the channel matrix to obtain the target channel matrix.

Some embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. In the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

Please refer to FIG. 1 . FIG. 1 is a schematic flowchart of a channel matrix processing method provided by an embodiment of the present disclosure.

As shown in FIG. 1 , the channel matrix processing method may include step S101 to step S103.

Step S101, acquiring a channel matrix and a unitary matrix.

When the first terminal device and the second terminal device send pilot signals to each other, the first terminal device collects channel state information (Channel State Information, CSI) sampling values, obtains multiple CSI sampling values, and generates channel matrix. Wherein, the first terminal device and the second terminal device may be set according to actual conditions, which is not specifically limited in this embodiment of the present disclosure. For example, the first terminal device is a mobile phone, and the second terminal device is a computer. The first terminal device includes a first antenna array, and the second terminal device includes a second antenna array. The first antenna array and the second antenna array may be set according to actual conditions, and are not specifically limited in this embodiment of the present disclosure.

In an embodiment, each sub-channel matrix is determined according to each CSI sampling value, and all sub-channel matrices are superimposed to obtain a channel matrix. Among them, when there is only one CSI sampling value, there is only one sub-channel matrix, and the sub-channel matrix is the channel matrix. When there are multiple CSI sampling values, there are a corresponding number of sub-channel matrices. For the multiple sub-channel matrices Superposition is performed to obtain the channel matrix. The channel matrix can be obtained accurately by calculating the sub-channel matrix corresponding to each CSI sampling value, and then superimposing multiple sub-channel matrices.

In an embodiment, the CSI sampling value includes the angle of arrival and the total number of antennas corresponding to each antenna in the antenna array at the receiving end, the angle of arrival and the total number of antennas corresponding to the ray for each antenna in the antenna array at the transmitting end, and the total number of antennas in the scattering cluster. The power value for each ray. According to the CSI sampling value, the way to determine the sub-channel matrix can be as follows: Obtain the sub-channel matrix coefficients, where the sub-channel matrix coefficients are determined by the total number of antennas at the transmitting end, the total number of antennas at the receiving end, the total number of scattering clusters, and the propagation path in each scattering cluster The number is determined; based on the sub-channel matrix coefficients, the sub-channel matrix is determined according to the angle of departure, angle of arrival, and power value of each ray in the scattering cluster.

It should be noted that the channel matrix in the embodiment of the present disclosure can be established based on the clustering channel model, or can be established based on other models, which is not specifically limited in this embodiment, for example, Saleh-Valenzuela channel model, 3GPP Channel models such as TR 38.900 channel model, METIS channel model and MIWEBA model.

Exemplarily, as shown in FIG. 2, the first terminal device 10 transmits information to the second terminal device 20, the first terminal device 10 transmits the signal to the cluster 30, and then the cluster 30 transmits the information to the second terminal device 20, from The included angle 40 between the transmission ray from the first terminal device 10 to the cluster 30 and the horizontal is the departure angle, and the included angle 50 between the transmission ray and the horizontal from the cluster 30 to the second terminal device 20 is the arrival angle.

In one embodiment, the method of obtaining the sub-channel matrix coefficients is: multiplying the total number of antennas at the transmitting end and the total number of antennas at the receiving end to obtain the first sub-channel matrix coefficients, and calculating the total number of scattering clusters and the number of propagation paths in the scattering clusters The multiplication operation is used to obtain the second sub-channel matrix coefficients, and the square root is obtained by dividing the first sub-channel matrix coefficients by the second sub-channel matrix coefficients to obtain the sub-channel matrix coefficients.

In an embodiment, based on the sub-channel matrix coefficients, according to the angle of departure, angle of arrival, and power value of each ray in the scattering cluster, the method of determining the sub-channel matrix may be: according to the angle of departure of the transmitting end and the total number of antennas, determine the Array response vector, according to the arrival angle of the receiving end and the total number of antennas, determine the receiving end array response vector, according to the sub-channel matrix coefficient, the transmitting end array response vector, the receiving end array response vector and the power value of each ray in the scattering cluster, generate the sub-channel channel matrix. The sub-channel matrix can be accurately determined by calculating the sub-channel matrix coefficients of the array response vector at the transmitter, the array response vector at the receiver, and the power value of each ray in the scattering cluster.

Exemplarily, according to the angle of departure of the transmitting end and the total number of antennas, the method of determining the array response vector of the transmitting end may be: obtaining the formula of the array response vector, and the formula of the array response vector is

Among them, a is an array vector vector,

is the departure angle of the transmitting end, N is the total number of antennas in the antenna array at the transmitting end, k is a constant, and d is the antenna spacing in the antenna array,

λ is the wavelength of the millimeter wave, based on the array response vector formula, and according to the total number of antenna array antennas at the transmitting end, the wavelength of the millimeter wave, and the departure angle of the transmitting end, the array response vector at the transmitting end is determined. The array response vector at the transmitting end can be accurately determined by using the array response vector formula and the total number of antenna array antennas at the transmitting end, the wavelength of the millimeter wave, and the departure angle of the transmitting end.

Exemplarily, according to the angle of arrival of the receiving end and the total number of antennas, the method of determining the array response vector of the receiving end may be: obtaining the formula of the array response vector, and the formula of the array response vector is

Among them, a is the array vector vector, θ is the angle of arrival at the receiving end, N is the total number of antenna array antennas at the receiving end, k is a constant, and d is the antenna spacing in the antenna array,

λ is the wavelength of the millimeter wave. Based on the array response vector formula, and according to the total number of antenna array antennas at the receiving end, the wavelength of the millimeter wave, and the angle of arrival at the receiving end, the array response vector at the receiving end is determined. The array response vector at the receiving end can be accurately determined through the array response vector formula and the total number of antenna array antennas at the receiving end, the wavelength of the millimeter wave, and the angle of arrival at the receiving end.

Exemplarily, according to the subchannel matrix coefficients, the array response vector at the transmitting end, the array response vector at the receiving end, and the power value of each ray in the scattering cluster, the way to generate the subchannel matrix can be: obtain the subchannel matrix formula, the subchannel The matrix formula is

in,

is the sub-channel matrix coefficient, N _t in the sub-channel matrix coefficient is the total number of antenna array antennas at the transmitting end, N _r is the total number of antenna array antennas at the receiving end, N _cl is the total number of scattering clusters, and N _ray is the number of propagation paths in the scattering clusters,

is the power value of rays in the scattering cluster, a _r (θ _il ) is the array response vector at the receiving end,

is the conjugate transpose matrix of the array response vector at the transmitting end, based on the subchannel matrix formula, and according to the subchannel matrix coefficients, the total number of antenna array antennas at the transmitting end, the total number of antenna array antennas at the receiving end, the total number of scattering clusters, and the propagation in scattering clusters The number of paths, the power value of the rays in the scattering cluster and the array response vector at the receiving end and the array response vector at the sending end generate a subchannel matrix. The sub-channel matrix can be accurately generated through the sub-channel matrix formula.

Exemplarily, the subchannel matrix includes subchannel matrix H ₁ , subchannel matrix H ₂ , subchannel matrix H ₃ , subchannel matrix H ₄ , subchannel matrix H ₅ , subchannel matrix H ₆ , subchannel matrix H ₇ , Sub-channel matrix H ₈ , sub-channel matrix H ₉ and sub-channel matrix H ₁₀ . For sub-channel matrix H ₁ , sub-channel matrix H ₂ , sub-channel matrix H ₃ , sub-channel matrix H ₄ , sub-channel matrix H ₅ , sub-channel matrix H ₆ , sub-channel matrix H ₇ , sub-channel matrix H ₈ , sub-channel matrix The channel matrix H ₉ and the sub-channel matrix H ₁₀ perform matrix superposition, and the channel matrix is obtained as

The dimension of the channel matrix is

N _r is the total number of antennas at the receiving end, and N _t is the total number of antennas at the transmitting end.

In one embodiment, the unitary matrix includes a first unitary matrix and a second unitary matrix, the first unitary matrix is determined based on the angle of departure of each antenna in the antenna array at the transmitting end and the total number of antennas, and the second unitary matrix is It is determined based on the angle of arrival of each antenna in the antenna array at the receiving end and the total number of antennas.

Exemplarily, a manner of determining the first unitary matrix may be: acquiring an antenna array at the transmitting end, and performing a two-dimensional discrete Fourier transform on the antenna array at the transmitting end to obtain the first unitary matrix. For example, obtain the antenna spacing, the total number of antennas, and the departure angle of each antenna corresponding to the ray in the antenna array at the transmitting end, and obtain the unitary matrix formula. The unitary matrix formula is:

Among them, U is a unitary matrix, N is the total number of antennas,

is an array-vector-vector,

λ is the wavelength of the millimeter wave, and d is the antenna spacing. Based on the unitary matrix formula, the first unitary matrix is generated according to the antenna spacing in the antenna array at the transmitting end, the total number of antennas, the departure angle of each antenna's corresponding ray, and the millimeter wave wavelength. The first unitary matrix can be accurately determined through the unitary matrix calculation formula.

Exemplarily, a manner of determining the second unitary matrix may be: acquiring an antenna array at the receiving end, and performing a two-dimensional discrete Fourier transform on the antenna array at the receiving end to obtain the second unitary matrix. For example, obtain the antenna spacing, the total number of antennas, and the angle of arrival of the rays corresponding to each antenna in the antenna array at the receiving end, and obtain the unitary matrix formula. The unitary matrix formula is:

Among them, U is a unitary matrix, N is the total number of antennas, a(θ ₀ ) is an array vector,

λ is the wavelength of the millimeter wave, and d is the antenna spacing. Based on the unitary matrix formula, and according to the antenna spacing in the antenna array at the receiving end, the total number of antennas, the angle of arrival of the ray corresponding to each antenna, and the millimeter wave wavelength, a second unitary matrix is generated. The second unitary matrix can be accurately determined through the unitary matrix calculation formula.

Step S102, performing unitary transformation on the channel matrix according to the unitary matrix to obtain a beam space matrix corresponding to the channel matrix.

Wherein, the unitary matrix includes a first unitary matrix and a second unitary matrix, the first unitary matrix is determined based on the angle of departure of each antenna in the antenna array at the transmitting end and the total number of antennas, and the second unitary matrix is determined based on the number of antennas at the receiving end Each antenna in the array corresponds to the angle of arrival of the ray and the total number of antennas.

In an embodiment, the conjugate transpose matrix of the second unitary matrix is determined; the conjugate transpose matrix, the channel matrix and the first unitary matrix are multiplied to obtain a beam space matrix corresponding to the channel matrix. By performing multiplication operations on the conjugate transposition matrix, the channel matrix, and the first unitary matrix, the beam space matrix corresponding to the channel matrix can be accurately obtained, which improves the efficiency and accuracy of subsequent de-redundancy processing on the channel matrix.

Exemplarily, the beam space matrix formula is obtained, and the beam space matrix formula is

where H _b is the beam space matrix,

is the conjugate transpose matrix of the second unitary matrix, H is the channel matrix, and U _t is the first unitary matrix. Based on the beam space matrix formula, the conjugate transpose matrix of the second unitary matrix, the channel matrix and the first unitary matrix are brought into the beam space matrix formula for calculation, and the beam space matrix corresponding to the channel matrix is obtained. The beam space matrix can be accurately calculated through the beam space matrix formula.

Step S103, according to the beam space matrix and the unitary matrix, perform de-redundancy processing on the channel matrix to obtain a target channel matrix.

Wherein, the redundancy of the channel matrix generated according to the CSI sampling value is relatively high, so that the security of the key generated according to the channel matrix is low. Therefore, the channel matrix needs to be deredundantly processed.

In one embodiment, as shown in FIG. 3 , step S103 includes substeps S1031 to S1032.

Sub-step S1031, according to the beam space matrix and the unitary matrix, determine the transformation matrix corresponding to the channel matrix.

Exemplarily, determine the sum of squares of each row element or column element of the beam space matrix; determine at least one index value according to the square sum of each row element or column element of the beam space matrix; select the index value corresponding to The columns of are used as the target columns, and according to each target column, the transformation matrix corresponding to the channel matrix is constructed. The selected index value may be set according to the actual situation, which is not specifically limited in the embodiments of the present disclosure, for example, one index value may be selected, or multiple index values may be selected. By selecting the target column from the unitary matrix, the transformation matrix of the channel matrix can be constructed based on the target column.

In an embodiment, according to the sum of squares of elements in each row or column of the beam space matrix, the method of determining at least one index value may be: according to the sum of squares of elements in each row or column of the beam space matrix, for the beam Each matrix row number or each matrix column number of the spatial matrix is sorted to obtain a row number sorting queue or a column number sorting queue; select at least one matrix row number from the row number sorting queue as an index value, or select at least one matrix row number from the column number sorting queue A matrix column number as index value.

In one embodiment, the unitary matrix includes a first unitary matrix. When the target column is selected from the first unitary matrix, and according to each target column, the method of constructing the transformation matrix corresponding to the channel matrix can be as follows: determine each of the beam space matrices The sum of the squares of the column elements, according to the sum of the squares of the elements in each column, sort the column numbers of the beam space matrix to obtain the column number sorting queue, select at least one matrix column number from the column number sorting queue as the index value, and start from the A column corresponding to the index value is selected as a target column in a unitary matrix, and matrix combination is performed on at least one target column to obtain a transformation matrix corresponding to the channel matrix.

It should be noted that, according to the sum of the squares of the elements in each column, the manner of sorting the matrix column numbers of the beam space matrix can be set according to the actual situation. For example, the column number sorting queue can be obtained by sorting the sum of squares of elements in each column from large to small; it can also be sorted according to the sum of squares of each column of elements from small to large to obtain a sorting queue of column numbers.

Exemplarily, the method of selecting at least one matrix column number as an index value from the column number sorting queue can be as follows: the order of the column number sorting queue from large to small is {4,2,1,5,3}, if selected One index value, column number 4 is used as the index value, and if two index values are selected, column number 4 and column number 2 are used as the index value.

In an embodiment, the unitary matrix includes a second unitary matrix. When the target column is selected from the second unitary matrix, and according to each target column, the method of constructing the transformation matrix corresponding to the channel matrix can be as follows: determine each The sum of the squares of the row elements, according to the sum of the squares of the elements of each row, sort the matrix row numbers of the beam space matrix to obtain the row number sorting queue, select at least one matrix row number from the row number sorting queue as an index value, and start from the In the binary unitary matrix, the column corresponding to the index value is selected as the target column, and matrix combination is performed on at least one target column to obtain a transformation matrix corresponding to the channel matrix.

It should be noted that, according to the sum of the squares of elements in each row, the manner of sorting the matrix row numbers of the beam space matrix can be set according to actual conditions. For example, the row number sorting queue can be obtained by sorting the sum of squares of elements in each row from large to small; it can also be sorted according to the sum of squares of elements in each row from small to large to get a row number sorting queue.

Exemplarily, the method of selecting at least one matrix row number from the column number sorting queue as an index value may be as follows: the row number sorting queue from large to small is {3,5,1,2,4}, if selected One index value, the row number 3 is used as the index value, and if two index values are selected, the row number 3 and the row number 5 are used as the index value.

Sub-step S1032, performing de-redundancy processing on the channel matrix according to the transformation matrix to obtain a target channel matrix.

The target channel matrix formula is obtained, based on the target channel rectangular formula, and according to the transformation matrix and the channel matrix, the target channel matrix is obtained. Wherein, the target channel matrix formula includes a first target channel matrix formula and a second target channel matrix formula. Based on the target channel matrix formula, the transformation matrix and the channel matrix are brought into the target channel matrix formula for calculation, which can effectively de-redundant the channel matrix and obtain the target channel matrix.

In one embodiment, when the target channel matrix formula is the first target channel matrix formula, the first target channel matrix formula is H _c =HV, where H _c is the target channel matrix, H is the channel matrix, and V is the transformation matrix. Based on the first target channel matrix, the channel matrix and the transformation matrix determined according to the first unitary matrix are brought into the formula of the first target channel matrix for calculation to obtain the target channel matrix. Through the first channel matrix formula and the transformation matrix, redundant parameters in the channel matrix can be effectively removed to obtain a target channel matrix.

In one embodiment, when the target channel matrix formula is the second target channel matrix formula, the second target channel matrix formula is H _c = V ^H H, where H _c is the target channel matrix, H is the channel matrix, and V ^H is the conjugate transpose transformation matrix. Based on the second target channel matrix, the channel matrix and the conjugate transpose transformation matrix determined according to the second unitary matrix are brought into the formula of the second target channel matrix for calculation to obtain the target channel matrix. Through the second channel matrix formula and the conjugate transpose transformation matrix, redundant parameters in the channel matrix can be effectively removed to obtain a target channel matrix.

Using the channel matrix processing method provided by the above-mentioned embodiments, by obtaining the channel matrix and the unitary matrix, and then performing unitary transformation on the channel matrix according to the unitary matrix, the beam space matrix corresponding to the channel matrix can be obtained, and according to the beam space matrix and the unitary matrix, the channel The matrix is deredundantly processed, so that the redundancy of the generated target channel matrix is very low, so that the key generated based on the target channel matrix is more secure, and the security of information transmission is greatly improved.

Please refer to FIG. 4 . FIG. 4 is a schematic flowchart of another channel matrix processing method provided by an embodiment of the present disclosure.

As shown in FIG. 4, the channel matrix processing method may include steps S201 to S204.

Step S201, acquiring a channel matrix and a unitary matrix.

When the first terminal device and the second terminal device transmit pilot signals to each other, collect channel state information (Channel State Information, CSI) sampling values to obtain multiple CSI sampling values, and generate a channel matrix according to the multiple CSI sampling values. Wherein, the first terminal device and the second terminal device may be set according to actual conditions, which is not specifically limited in this embodiment of the present disclosure. For example, the first terminal device is a mobile phone, and the second terminal device is a computer. It should be noted that the collection of the CSI sample value may collect one CSI sample value, or may collect multiple CSI sample values.

In an embodiment, each sub-channel matrix is determined according to each CSI sampling value, and all sub-channel matrices are superimposed to obtain a channel matrix. Among them, when there is only one CSI sampling value, there is only one sub-channel matrix, and the sub-channel matrix is the channel matrix. When there are multiple CSI sampling values, there are a corresponding number of sub-channel matrices. The channel matrices are superimposed to obtain the channel matrix. The channel matrix can be obtained accurately by calculating the sub-channel matrix corresponding to each CSI sampling value, and then superimposing multiple sub-channel matrices.

Step S202, performing unitary transformation on the channel matrix according to the unitary matrix to obtain a beam space matrix corresponding to the channel matrix.

Step S203, performing de-redundancy processing on the channel matrix according to the beam space matrix and the unitary matrix to obtain a target channel matrix.

Determine the sum of squares of each row element or column element of the beam space matrix; determine at least one index value according to the square sum of each row element or column element of the beam space matrix; select the column corresponding to the index value from the unitary matrix as the target Columns, and according to each target column, construct a transformation matrix corresponding to the channel matrix. The channel matrix is deredundantly processed according to the transformation matrix to obtain the target channel matrix.

Step S204, splitting the target channel matrix into multiple target sub-channel matrices, and generating a key sequence according to the multiple target sub-channel matrices.

The target channel matrix is split into multiple target sub-channel matrices, and a key sequence is generated according to the multiple target sub-channel matrices based on a preset key generation method. Wherein, the preset key generation method may be set according to actual conditions, which is not specifically limited in the embodiment of the present disclosure. For example, the preset key generation method may be a multi-bit adaptive method. By splitting the target channel matrix into multiple target sub-channel matrices, and then based on the preset key generation method, the key sequence can be obtained accurately.

In one embodiment, the superimposition sequence in which the sub-channel matrices are superimposed into a channel matrix is obtained, the matrix splitting sequence is obtained based on the inverse of the superimposition sequence, and the target channel matrix is split according to the matrix splitting sequence to obtain multiple target subchannel matrices. channel matrix. A multi-bit adaptive method is used to map the analog measurements in each target subchannel matrix to bit values, ie to generate a key sequence. Through the multi-bit adaptive method, the analog measurement value in the target sub-channel matrix can be mapped into a bit value to obtain a key sequence.

Using the channel matrix processing method provided by the above-mentioned embodiments, by obtaining the channel matrix and the unitary matrix, and then performing unitary transformation on the channel matrix according to the unitary matrix, the beam space matrix corresponding to the channel matrix can be obtained, and according to the beam space matrix and the unitary matrix, the channel The matrix is deredundantly processed, so that the redundancy of the generated target channel matrix is very low, the target channel matrix is split into multiple target sub-channel matrices, and according to the multiple target sub-channel matrices, a more secure The key sequence greatly improves the security of information transmission.

Please refer to FIG. 5 . FIG. 5 is a schematic structural block diagram of a terminal device provided by an embodiment of the present disclosure.

As shown in FIG. 5, the terminal device 300 includes a processor 301 and a memory 302, and the processor 301 and the memory 302 are connected through a bus 303, such as an I2C (Inter-integrated Circuit) bus.

The processor 301 is used to provide computing and control capabilities to support the operation of the entire terminal device. The processor 301 can be a central processing unit (Central Processing Unit, CPU), and the processor 301 can also be other general processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC) ), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Wherein, the general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 302 can be a Flash chip, a read-only memory (ROM, Read-Only Memory) disk, an optical disk, a U disk, or a mobile hard disk.

Those skilled in the art can understand that the structure shown in FIG. 5 is only a block diagram of a partial structure related to the disclosed solution, and does not constitute a limitation on the terminal device to which the disclosed solution is applied. The specific terminal device can be More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

Wherein, the processor is configured to run a computer program stored in the memory, and implement any one of the channel matrix processing methods provided in the embodiments of the present disclosure when executing the computer program.

In one embodiment, the processor is configured to run a computer program stored in a memory, and when executing the computer program, it is configured to: acquire a channel matrix and a unitary matrix; perform unitary transformation on the channel matrix according to the unitary matrix, and obtain the channel matrix corresponding to The beam space matrix of ; according to the beam space matrix and the unitary matrix, the channel matrix is deredundantly processed to obtain the target channel matrix.

In an embodiment, when the processor implements de-redundancy processing on the channel matrix according to the beam space matrix and the unitary matrix to obtain the target channel matrix, it is configured to: determine the corresponding channel matrix according to the beam space matrix and the unitary matrix The transformation matrix of ; according to the transformation matrix, the channel matrix is deredundantly processed to obtain the target channel matrix.

In an embodiment, when the processor determines the transformation matrix corresponding to the channel matrix according to the beam space matrix and the unitary matrix, it is configured to: determine the sum of squares of elements in each row or column of the beam space matrix; The sum of the squares of each row element or each column element of the spatial matrix determines at least one index value; selects the column corresponding to the index value from the unitary matrix as a target column, and constructs a transformation matrix corresponding to the channel matrix according to each target column.

In an embodiment, when the processor determines at least one index value according to the sum of the squares of each row element or each column element of the beam space matrix, it is configured to: according to each row element or each column element of the beam space matrix The sum of the squares of each matrix row number or each matrix column number of the beam space matrix is sorted to obtain a row number sorting queue or a column number sorting queue; select at least one matrix row number from the row number sorting queue as an index value, or select at least one matrix row number from the column Select at least one matrix column number as the index value in the number sorting queue.

In an embodiment, when acquiring the channel matrix, the processor is configured to: acquire a plurality of channel state information CSI sampling values, and generate a channel matrix according to the plurality of CSI sampling values.

In an embodiment, the processor is configured as follows: the unitary matrix includes a first unitary matrix and a second unitary matrix, and the first unitary matrix is determined based on the angle of departure of each antenna corresponding to the ray in the antenna array at the transmitting end and the total number of antennas The second unitary matrix is determined based on the angle of arrival of the ray corresponding to each antenna in the antenna array at the receiving end and the total number of antennas.

In an embodiment, when the processor performs unitary transformation on the channel matrix according to the unitary matrix to obtain the beam space matrix corresponding to the channel matrix, the processor is configured to: determine the conjugate transpose matrix of the first unitary matrix; The transposition matrix, the channel matrix and the second unitary matrix are multiplied to obtain a beam space matrix corresponding to the channel matrix.

In an embodiment, the processor is further configured to: split the target channel matrix into multiple target sub-channel matrices, and generate a key sequence according to the multiple target sub-channel matrices.

It should be noted that those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working process of the terminal device described above can refer to the corresponding process in the foregoing embodiment of the channel matrix processing method, which is not described here. Let me repeat.

An embodiment of the present disclosure also provides a storage medium for computer-readable storage. The storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the information provided in the present disclosure. The steps of any one of the methods of channel matrix processing.

Wherein, the storage medium may be an internal storage unit of the terminal device described in the foregoing embodiments, such as a hard disk or a memory of the terminal device. The storage medium may also be an external storage device of the terminal device, such as a plug-in hard disk equipped on the terminal device, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash memory card (Flash Card) and so on.

The present disclosure provides a channel matrix processing method, terminal equipment, and storage medium. By obtaining the channel matrix and the unitary matrix, and then performing unitary transformation on the channel matrix according to the unitary matrix, the beam space matrix corresponding to the channel matrix can be obtained. According to the beam space matrix And unitary matrix, the channel matrix is deredundantly processed, so that the redundancy of the generated target channel matrix is very low, so that the key generated based on the target channel matrix is more secure, and the security of information transmission is greatly improved.

Those of ordinary skill in the art can understand that all or some of the steps in the methods disclosed above, the functional modules/units in the system, and the device can be implemented as software, firmware, hardware, and an appropriate combination thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be composed of several physical components. Components cooperate to execute. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit . Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As known to those of ordinary skill in the art, the term computer storage media includes both volatile and nonvolatile media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data. permanent, removable and non-removable media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, tape, magnetic disk storage or other magnetic storage devices, or can Any other medium used to store desired information and which can be accessed by a computer. In addition, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media .

It should be understood that the term "and/or" used in the present disclosure and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations. It should be noted that, as used herein, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or system comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or system. Without further limitations, an element defined by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article or system comprising that element.

The serial numbers of the above-mentioned embodiments of the present disclosure are for description only, and do not represent the advantages and disadvantages of the embodiments. The above is only a specific embodiment of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any person familiar with the technical field can easily think of various equivalents within the technical scope of the present disclosure. Modifications or replacements should be covered within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be determined by the protection scope of the claims.

Claims

A channel matrix processing method, comprising:

Obtain channel matrix and unitary matrix;

performing unitary transformation on the channel matrix according to the unitary matrix to obtain a beam space matrix corresponding to the channel matrix;

De-redundancy processing is performed on the channel matrix according to the beam space matrix and the unitary matrix to obtain a target channel matrix.
The channel matrix processing method according to claim 1, wherein, according to the beam space matrix and the unitary matrix, performing de-redundancy processing on the channel matrix to obtain a target channel matrix, comprising:

determining a transformation matrix corresponding to the channel matrix according to the beam space matrix and the unitary matrix;

De-redundancy processing is performed on the channel matrix according to the transformation matrix to obtain the target channel matrix.
The channel matrix processing method according to claim 2, wherein, according to the beam space matrix and the unitary matrix, determining the transformation matrix corresponding to the channel matrix includes:

determining the sum of squares of each row element or each column element of the beamspace matrix;

determining at least one index value based on the sum of squares of elements in each row or column of the beam space matrix;

Selecting the column corresponding to the index value from the unitary matrix as a target column, and constructing a transformation matrix corresponding to the channel matrix according to each target column.
The channel matrix processing method according to claim 3, wherein said determining at least one index value according to the sum of squares of each row element or each column element of the beam space matrix includes:

According to the square sum of each row element or each column element of the beam space matrix, sort each matrix row number or each matrix column number of the beam space matrix to obtain a row number sorting queue or a column number sorting queue;

Selecting at least one matrix row number from the row number sorting queue as an index value, or selecting at least one matrix column number from the column number sorting queue as an index value.
The channel matrix processing method according to claim 1, wherein said obtaining the channel matrix comprises:

A plurality of channel state information CSI sampling values are acquired, and a channel matrix is generated according to the plurality of CSI sampling values.
The channel matrix processing method according to any one of claims 1-5, wherein the unitary matrix includes a first unitary matrix and a second unitary matrix, and the first unitary matrix is based on each The second unitary matrix is determined based on the angle of arrival of each antenna in the antenna array at the receiving end corresponding to the ray and the total number of antennas.
The channel matrix processing method according to claim 6, wherein said performing unitary transformation on said channel matrix according to said unitary matrix to obtain a beam space matrix corresponding to said channel matrix, comprising:

determining a conjugate transpose matrix of the first unitary matrix;

performing a multiplication operation on the conjugate transposition matrix, the channel matrix, and the second unitary matrix to obtain a beam space matrix corresponding to the channel matrix.
The channel matrix processing method according to any one of claims 1-5, wherein the method further comprises:

Splitting the target channel matrix into multiple target sub-channel matrices, and generating a key sequence according to the multiple target sub-channel matrices.
A terminal device, wherein the terminal device includes a processor, a memory, a computer program stored on the memory and executable by the processor, and a computer program for realizing the connection between the processor and the memory A data bus for communication, wherein when the computer program is executed by the processor, the steps of the channel matrix processing method according to any one of claims 1 to 8 are realized.
A storage medium for computer-readable storage, wherein the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement claims 1 to 8 The step of the channel matrix processing method described in any one.