CN115865153A - Method and device for transmitting and receiving multi-antenna system - Google Patents

Method and device for transmitting and receiving multi-antenna system Download PDF

Info

Publication number
CN115865153A
CN115865153A CN202211442702.6A CN202211442702A CN115865153A CN 115865153 A CN115865153 A CN 115865153A CN 202211442702 A CN202211442702 A CN 202211442702A CN 115865153 A CN115865153 A CN 115865153A
Authority
CN
China
Prior art keywords
matrix
antenna system
target
determining
channel
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211442702.6A
Other languages
Chinese (zh)
Inventor
何磊
胡厚攀
蒋颖波
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Bicocq Microelectronics Hangzhou Co ltd
Original Assignee
Bicocq Microelectronics Hangzhou Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Bicocq Microelectronics Hangzhou Co ltd filed Critical Bicocq Microelectronics Hangzhou Co ltd
Priority to CN202211442702.6A priority Critical patent/CN115865153A/en
Publication of CN115865153A publication Critical patent/CN115865153A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Radio Transmission System (AREA)

Abstract

The present disclosure provides a transmitting and receiving method of a multi-antenna system, which can be applied to the technical field of wireless communication. The method comprises the following steps: determining a target matrix according to the number of the transmitting antennas and the channel matrix of the multi-antenna system; constructing a pre-coding matrix and a preprocessing matrix according to the eigenvalue of the target matrix and the elements of the target matrix; and carrying out coding and decoding operation on the sending signals according to the pre-coding matrix and the pre-processing matrix. Compared with the SVD iterative algorithm in the related art, the method greatly reduces the computational complexity and overcomes the problem of unstable convergence possibly encountered by the iterative algorithm. The present disclosure also provides a transmitting and receiving apparatus, a device, a storage medium, and a program product of the multi-antenna system.

Description

Method and device for transmitting and receiving multi-antenna system
Technical Field
The present disclosure relates to the field of wireless communication technologies, and in particular, to a method, an apparatus, a device, a medium, and a program product for transmitting and receiving in a multi-antenna system.
Background
The OFDM wireless communication system decomposes a broadband communication channel into a plurality of decoupled narrowband communication channels through orthogonal Subcarrier (SC) waveform design, and is widely applied to the current wireless communication system. The application of MIMO technology is also a very straightforward and effective way to increase the capacity of a wireless communication systemFormula (II) is shown. Therefore, the combination of OFDM and MIMO becomes an important feature of 4G, 5G and even future wireless communication systems. A MIMO system (Multiple-input Multiple-Output, MIMO) is a system that uses Multiple transmitting antennas and Multiple receiving antennas at a transmitting end and a receiving end, respectively, so that signals are transmitted and received through the Multiple antennas at the transmitting end and the receiving end, thereby improving communication quality. In a narrow-band MIMO wireless communication system, if channel information is known at a signal transmitting end
Figure BDA0003947541330000011
Then the information demonstrates that an optimal transmit and receive method can be achieved by transmitting a precoding matrix and receiving a preprocessing matrix.
In the related art, the Singular Value Decomposition (SVD) of a channel needs to be solved for optimal precoding and corresponding optimal reception of a signal transmitting end, and an iterative algorithm is mostly adopted for an SVD algorithm, so that the SVD computation complexity is high when the number of transmitting and receiving antennas is large.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
In view of the above, the present disclosure provides a transmission and reception method, apparatus, device, medium, and program product of a multi-antenna system that reduce the computational complexity of a precoding matrix.
According to a first aspect of the present disclosure, there is provided a transmission and reception method of a multiple antenna system, including: determining a target matrix according to the number of the transmitting antennas and the channel matrix of the multi-antenna system;
constructing a pre-coding matrix and a preprocessing matrix according to the eigenvalue of the target matrix and the elements of the target matrix;
and carrying out coding and decoding operation on the sending signals according to the pre-coding matrix and the pre-processing matrix.
According to an embodiment of the present disclosure, the determining a target matrix according to the number of transmit antennas and the channel matrix of the multi-antenna system includes:
when the number of the sending antennas is equal to 2, determining a conjugate transpose matrix of a channel matrix of the multi-antenna system; and
and determining a target matrix according to the channel matrix and the conjugate transpose matrix of the multi-antenna system.
According to an embodiment of the present disclosure, the determining a target matrix according to the number of transmit antennas and the channel matrix of the multi-antenna system further includes:
when the number of the transmitting antennas is more than 2, selecting any orthogonal matrix F and a channel matrix of the multi-antenna system to construct an initial matrix;
and determining a target matrix according to the initial matrix and the channel matrix of the multi-antenna system.
According to the embodiment of the present disclosure, the selecting any orthogonal matrix F and the channel matrix of the multi-antenna system to construct the initial matrix includes:
selecting an arbitrary orthogonal matrix F, wherein the orthogonal matrix F satisfies
Figure BDA0003947541330000021
Said N is tx The number of transmitting antennas;
determining an intermediate matrix according to the orthogonal matrix F and a channel matrix of the multi-antenna system;
calculating a modulus of a column vector of the intermediate matrix;
selecting two column vectors with maximum modulus values to construct an initial matrix
Figure BDA0003947541330000022
According to an embodiment of the present disclosure, the constructing a precoding matrix and a preprocessing matrix according to the eigenvalues of the target matrix and the elements of the target matrix includes:
calculating a first eigenvalue and a second eigenvalue of the target matrix;
constructing a pre-coding matrix according to the first eigenvalue, the second eigenvalue and elements of the target matrix; and
and determining a preprocessing matrix according to the precoding matrix and the channel matrix.
A second aspect of the present disclosure provides a transmitting and receiving apparatus of a multiple antenna system, including: the target matrix determining module is used for determining a target matrix according to the number of the transmitting antennas and the channel matrix of the multi-antenna system;
a pre-coding matrix constructing module, configured to construct a pre-coding matrix and a pre-processing matrix according to the eigenvalue of the target matrix and the element of the target matrix;
and the coding and decoding module is used for carrying out coding and decoding operation on the sending signals according to the pre-coding matrix and the preprocessing matrix.
According to an embodiment of the present disclosure, the target matrix determination module includes:
a first determining submodule, configured to determine a conjugate transpose matrix of a channel matrix of the multi-antenna system when the number of transmit antennas is equal to 2; and
and the second determining submodule is used for determining a target matrix according to the channel matrix of the multi-antenna system and the conjugate transpose matrix.
According to an embodiment of the present disclosure, the target matrix determination module further includes:
the third determining submodule is used for selecting any orthogonal matrix F and the channel matrix of the multi-antenna system to construct an initial matrix when the number of the transmitting antennas is more than 2;
and the fourth determining submodule is used for determining a target matrix according to the initial matrix and the channel matrix of the multi-antenna system.
According to an embodiment of the present disclosure, the third determination submodule includes:
an orthogonal matrix selection unit for selecting any orthogonal matrix F, wherein the orthogonal matrix F satisfies
Figure BDA0003947541330000031
Said N is tx The number of transmitting antennas;
a determining unit, configured to determine an intermediate matrix according to the orthogonal matrix F and a channel matrix of the multi-antenna system;
a calculation unit for calculating a modulus of a column vector of the intermediate matrix;
a construction unit for selecting two column vectors with maximum modulus values to construct an initial matrix
Figure BDA0003947541330000041
According to an embodiment of the present disclosure, the precoding matrix constructing module includes:
the calculation submodule is used for calculating a first eigenvalue and a second eigenvalue of the target matrix;
a constructing submodule, configured to construct a precoding matrix according to the first eigenvalue, the second eigenvalue, and elements of the target matrix; and
and the fifth determining submodule is used for determining a preprocessing matrix according to the precoding matrix and the channel matrix.
A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the transmission and reception method of the multi-antenna system.
The fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the transmitting and receiving methods of the multi-antenna system described above.
The fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the transmission and reception method of the above-described multiple antenna system.
According to the transmitting and receiving method of the multi-antenna system provided by the embodiment of the disclosure, a target matrix is determined according to the number of transmitting antennas and a channel matrix of the multi-antenna system; constructing a pre-coding matrix and a preprocessing matrix according to the eigenvalue of the target matrix and the elements of the target matrix; and carrying out coding and decoding operation on the sending signals according to the pre-coding matrix and the pre-processing matrix. Compared with the method for calculating the precoding matrix through the SVD algorithm in the related art, the embodiment of the disclosure determines the precoding matrix through providing a matrix analysis method, and directly constructs the precoding matrix according to the eigenvalue and the element of the target matrix through determining the target matrix, thereby avoiding complex SVD calculation, greatly reducing the calculation complexity and ensuring that the precoding matrix provides higher channel capacity.
Drawings
The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, which proceeds with reference to the accompanying drawings, in which:
fig. 1 schematically illustrates an application scenario diagram of a transmitting and receiving method, apparatus, device, medium, and program product of a multi-antenna system according to an embodiment of the present disclosure;
fig. 2 schematically shows a flow chart of a transmitting and receiving method of a multi-antenna system according to an embodiment of the present disclosure;
fig. 3 schematically shows a flow chart of another transmission and reception method of a multi-antenna system according to an embodiment of the present disclosure;
fig. 4 schematically shows a flow chart of a transmission and reception method of still another multi-antenna system according to an embodiment of the present disclosure;
FIG. 5 schematically illustrates a flow chart of a method of constructing an initial matrix according to an embodiment of the disclosure;
fig. 6 schematically shows a block diagram of a transmitting and receiving apparatus of a multiple antenna system according to an embodiment of the present disclosure; and
fig. 7 schematically shows a block diagram of an electronic device adapted to implement the transmitting and receiving method of the multi-antenna system according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B, and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B, and C" would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc.).
First, terms appearing in the embodiments of the present disclosure are explained:
a multiple-transmission multiple-reception communication system: a MIMO system (Multiple-input Multiple-Output, MIMO) is a system that uses Multiple transmitting antennas and Multiple receiving antennas at a transmitting end and a receiving end, respectively, to transmit and receive signals through the Multiple antennas at the transmitting end and the receiving end, thereby improving communication quality.
Channel matrix: refers to the matrix form of the transmission probability of a typical discrete single symbol channel.
A narrowband MIMO system can be described as follows:
Figure BDA0003947541330000061
Figure BDA0003947541330000062
indicating the received signal received at the receiving antenna is one and the number of receiving antennas N rx Vectors of the same length; />
Figure BDA0003947541330000063
Indicating the number of layers or streams (layer or stream) N of the transmission signal layer Vectors of the same length; />
Figure BDA0003947541330000064
Representing a channel matrix, the matrix element h i,j Characterizing the channel between the ith transmit antenna and the jth receive antenna, N tx Indicating the number of transmitting antennas; />
Figure BDA0003947541330000065
Represents a transmit precoding matrix; />
Figure BDA0003947541330000066
Representing the noise term. The number of layers of the transmission signal must be equal to or less than the number of transmission antennas and reception antennas at the same time.
In the related art, singular value decomposition is required for a channel matrix, and the calculation complexity of the decomposition algorithm increases exponentially with the increase of the data of the transmitting antenna. Therefore, how to reduce the computational complexity of the precoding matrix and ensure good channel utilization is an urgent technical problem to be solved.
Based on the above technical problem, an embodiment of the present disclosure provides a transmitting and receiving method for a multi-antenna system, including: determining a target matrix according to the number of the transmitting antennas and the channel matrix of the multi-antenna system; constructing a pre-coding matrix and a preprocessing matrix according to the eigenvalue of the target matrix and the elements of the target matrix; and carrying out coding and decoding operation on the sending signals according to the pre-coding matrix and the pre-processing matrix.
Fig. 1 schematically illustrates an application scenario diagram of a transmitting and receiving method, apparatus, device, medium, and program product of a multi-antenna system according to an embodiment of the present disclosure.
As shown in fig. 1, an application scenario 100 according to this embodiment may include a transmission and reception scenario of a multi-antenna system signal. The network 103 serves as a medium for providing communication links between the terminal devices 101, 102, the base station 104 and the server 105. The network 103 may be a wireless communication link or the like.
The user can use the terminal apparatuses 101 and 102 to receive or transmit a message or the like through the network 103. Various messaging client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only) may be installed on terminal devices 101 and 102.
Terminal devices 101 and 102 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The base station 104 may be a base station providing signal transmission service, the server 105 may be a server providing signal coding service, or may also be a server providing signal processing service, and it should be noted that the sending and receiving methods of the multi-antenna system provided by the embodiments of the present disclosure may be generally executed by the server 105. Accordingly, the transmitting and receiving device of the multi-antenna system provided by the embodiment of the present disclosure may be generally disposed in the server 105. The transmitting and receiving methods of the multi-antenna system provided by the embodiments of the present disclosure may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the terminal devices 101 and 102 and/or the server 105. Accordingly, the transmitting and receiving device of the multi-antenna system provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101 and 102 and/or the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Hereinafter, a transmitting and receiving method of the multi-antenna system according to the embodiment of the present disclosure will be described in detail through fig. 2 to 6 based on the scenario described in fig. 1.
Fig. 2 schematically shows a flowchart of a transmitting and receiving method of a multi-antenna system according to an embodiment of the present disclosure.
As shown in fig. 2, the transmission and reception method of the multi-antenna system of the embodiment includes operations S210 to S230, and the method may be performed by a server or other computing device.
In operation S210, a target matrix is determined according to the number of transmit antennas and a channel matrix of the multi-antenna system.
In operation S220, a precoding matrix and a preprocessing matrix are constructed according to the eigenvalues of the target matrix and the elements of the target matrix.
In operation S230, a coding and decoding operation is performed on a transmission signal according to the precoding matrix and the preprocessing matrix.
In one example, in an actual wireless communication system, although the number of transmitting/receiving end antennas is large, the number of actually transmitted signal layers is not large, and the most common is the case of 2 layers (streams). The embodiment of the disclosure provides a method for precoding and receiving preprocessing when a transmission signal of a narrowband MIMO communication system is 2 layers (or 2 streams), which greatly reduces the computational complexity and overcomes the problem of unstable convergence that an iterative algorithm may encounter. It should be noted that the method according to the embodiment of the present disclosure is also applicable to the case where the transmission signal is multi-layered.
In order to solve the technical problem of the operation complexity of the SVD algorithm, in the embodiment of the present disclosure, a precoding matrix and a preprocessing matrix are directly constructed through an analytic solution of a target matrix. In the embodiment of the present disclosure, the determination method of the corresponding target matrix is different according to the difference of the number of the transmitting antennas. Specifically, when the number of transmit antennas is equal to 2, the target matrix is determined jointly according to the channel matrix and the conjugate transpose matrix thereof; when the number of the transmitting antennas is more than 2, the target matrix firstly needs to construct an initial matrix at the moment
Figure BDA0003947541330000081
Based on the initial matrix->
Figure BDA0003947541330000082
And the channel matrix determines the target matrix. The specific operations may be referred to as operations S310 and S320 shown in fig. 3 and operations S410 and S420 shown in fig. 4. And will not be described in detail herein.
In an example, after the target matrix is determined, the precoding matrix V and the preprocessing matrix U are determined by solving an analytic solution of the target matrix, the transmitting end performs an encoding operation on the transmission signal through the preprocessing matrix, the receiving end performs a decoding operation on the received information through the preprocessing matrix, and a process of constructing the precoding matrix may refer to operations S330 to S350 shown in fig. 3.
According to the transmitting and receiving method of the multi-antenna communication system provided by the embodiment of the disclosure, a target matrix is determined according to the number of transmitting antennas and a channel matrix of the multi-antenna system; constructing a pre-coding matrix and a preprocessing matrix according to the eigenvalue of the target matrix and the elements of the target matrix; and carrying out coding and decoding operation on the sending signals according to the pre-coding matrix and the pre-processing matrix. When the number of the transmitting antennas is equal to 2, the result performance is completely equivalent to the optimal performance realized by the SVD method; when the number of the transmitting antennas is more than 2, the calculation complexity of the pre-coding matrix of the transmitting end and the pre-processing matrix of the receiving end is greatly reduced while the good channel utilization rate (channel capacity) is ensured and the maximum likelihood detection algorithm with low complexity is adapted.
Fig. 3 schematically shows a flow chart of another transmission and reception method of a multi-antenna system according to an embodiment of the present disclosure. Including operation S310 to operation S350.
In operation S310, when the number of transmit antennas is equal to 2, a conjugate transpose of a channel matrix of the multi-antenna system is determined.
In operation S320, a target matrix is determined according to a channel matrix of the multi-antenna system and the conjugate transpose matrix.
In operation S330, first and second eigenvalues of the objective matrix are calculated.
In operation S340, a precoding matrix is constructed according to the first eigenvalue, the second eigenvalue, and elements of the target matrix.
In operation S350, a pre-processing matrix is determined according to the pre-coding matrix and the channel matrix.
In one example, when transmitting antenna N tx If =2, the channel matrix H and its conjugate transpose matrix H are used H The target matrix a is determined.
A=H H H
It can be seen that the target matrix a can be represented as follows, where the matrix elements a, b, c, d are all scalar quantities:
Figure BDA0003947541330000091
calculating a first eigenvalue lambda of the matrix A according to an analytical method 1 And a second eigenvalue λ 2
Figure BDA0003947541330000092
Figure BDA0003947541330000093
And constructing a precoding matrix V according to the first eigenvalue, the second eigenvalue and the elements of the target matrix.
Figure BDA0003947541330000101
Wherein
Figure BDA0003947541330000102
Figure BDA0003947541330000103
Figure BDA0003947541330000104
Figure BDA0003947541330000105
/>
The elements of the precoding matrix can be calculated according to equations (2) to (5).
When the optimal precoding matrix is
W=V
Computing a pre-processing matrix at a receiving end
Figure BDA0003947541330000106
Figure BDA0003947541330000107
The receiving preprocessing at the receiving end is
Figure BDA0003947541330000108
From the above, when N is tx When the value is =2, the method result given by the embodiment of the present disclosure is completely equivalent to the conventional method using SVD, and the complex SVD calculation is avoided by the matrix analysis method.
Fig. 4 schematically shows a flowchart of a transmitting and receiving method of a further multi-antenna system according to an embodiment of the present disclosure. Fig. 5 schematically illustrates a flow chart of a method of constructing an initial matrix according to an embodiment of the present disclosure. As shown in fig. 4, operations S410 to S450 are included.
In operation S410, when the number of transmit antennas is greater than 2, an initial matrix is constructed by selecting an arbitrary orthogonal matrix F and a channel matrix of the multi-antenna system.
In one example, when the transmitting antenna is multipleNumber N tx If it is greater than 2, the number of streams of the transmission signal is 2, and it is necessary to construct N tx X 2 initial matrix. The process of constructing the initial matrix may be referred to as operations S411 to S414 shown in fig. 5, and as shown in fig. 5, operation S410 includes operations S411 to S414.
In operation S411, an arbitrary orthogonal matrix F is selected, wherein the orthogonal matrix F satisfies
Figure BDA0003947541330000111
Said N is tx The number of transmitting antennas; determining an intermediate matrix according to the orthogonal matrix F and a channel matrix of the multi-antenna system in operation S412; in operation S413, calculating a modulus of a column vector of the intermediate matrix; in operation S414, the two column vectors with the largest modulus values are selected to construct an initial matrix ≧>
Figure BDA0003947541330000112
In one example, an arbitrary orthogonal matrix is chosen
Figure BDA0003947541330000113
The matrix satisfies:
Figure BDA0003947541330000114
the present disclosure is illustrated with a normalized DFT matrix as an example, where matrix F can be any N tx ×N tx Orthogonal arrays of (2).
The modulus of the column vector of the following matrix is calculated,
Figure BDA0003947541330000115
Figure BDA0003947541330000116
wherein p is i Representing the modulus of the column vector of the ith column, and respectively marking the serial numbers of the two column vectors with the maximum modulus as i max_1 And i max_2
Initial matrix
Figure BDA0003947541330000117
From the ith of the F matrix max_1 And i max_2 A column vector, i.e.
Figure BDA0003947541330000118
This ensures a higher channel capacity (N equal to or greater than the total capacity of the H channels) layer /N rank )。
In operation S420, a target matrix is determined according to the initial matrix and a channel matrix of the multi-antenna system.
In operation S430, first and second eigenvalues of the objective matrix are calculated.
In operation S440, a precoding matrix is constructed according to the first eigenvalue, the second eigenvalue, and elements of the target matrix.
In operation S450, a pre-processing matrix is determined according to the pre-coding matrix and the channel matrix.
In one example, after constructing the initial matrix, a further derivation is made based on the initial matrix and the channel matrix
Figure BDA0003947541330000121
Figure BDA0003947541330000122
According to
Figure BDA0003947541330000123
Determining a target matrix A:
Figure BDA0003947541330000124
after determining the target matrix, the technical solutions and principles of operations S430 to S450 are the same as those of operations S330 to S350, and are not described herein again.
When N is present tx When the channel capacity is larger than 2, although the method result provided by the embodiment of the disclosure cannot be completely equivalent to the traditional method adopting SVD, the complicated SVD calculation is avoided, the calculation complexity is greatly reduced, and the precoding matrix is ensured to provide higher channel capacity. In addition, the preprocessed received signals are the same as the optimal SVD method, so that the calculation of the maximum likelihood in the detection process can be simplified into the independent calculation of the likelihood of each layer, and then the results are multiplied.
Based on the transmitting and receiving method of the multi-antenna system, the disclosure also provides a transmitting and receiving device of the multi-antenna system. The apparatus will be described in detail below with reference to fig. 6.
Fig. 6 schematically shows a block diagram of a transmitting and receiving apparatus of a multi-antenna system according to an embodiment of the present disclosure.
As shown in fig. 6, the transmitting and receiving apparatus 600 of the multi-antenna system of this embodiment includes a target matrix determining module 610, a precoding matrix constructing module 620, and a codec module 630.
The target matrix determining module 610 is configured to determine a target matrix according to the number of transmit antennas and a channel matrix of the multi-antenna system. In an embodiment, the target matrix determining module 610 may be configured to perform the operation S210 described above, which is not described herein again.
The pre-coding matrix constructing module 620 is configured to construct a pre-coding matrix and a pre-processing matrix according to the eigenvalue of the target matrix and the element of the target matrix. In an embodiment, the precoding matrix constructing module 620 may be configured to perform the operation S220 described above, which is not described herein again.
The coding and decoding module 630 is configured to perform coding and decoding operations on the transmission signal according to the pre-coding matrix and the pre-processing matrix. In an embodiment, the codec module 630 may be configured to perform the operation S230 described above, which is not described herein again.
According to the embodiment of the present disclosure, any plurality of the target matrix determining module 610, the precoding matrix constructing module 620, and the coding and decoding module 630 may be combined into one module to be implemented, or any one of them may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the target matrix determining module 610, the precoding matrix constructing module 620, and the codec module 630 may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementations of software, hardware, and firmware, or any suitable combination of any of them. Alternatively, at least one of the target matrix determination module 610, the pre-coding matrix construction module 620 and the codec module 630 may be at least partly implemented as a computer program module, which when executed may perform the respective functions.
Fig. 7 schematically shows a block diagram of an electronic device adapted to implement the transmitting and receiving method of the multi-antenna system according to an embodiment of the present disclosure.
As shown in fig. 7, an electronic device 500 according to an embodiment of the present disclosure includes a processor 501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. The processor 501 may comprise, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 501 may also include onboard memory for caching purposes. Processor 501 may include a single processing unit or multiple processing units for performing different actions of a method flow according to embodiments of the disclosure.
In the RAM 503, various programs and data necessary for the operation of the electronic apparatus 500 are stored. The processor 501, the ROM 502, and the RAM 503 are connected to each other by a bus 504. The processor 501 performs various operations of the method flows according to embodiments of the present disclosure by executing programs in the ROM 502 and/or RAM 503. Note that the programs may also be stored in one or more memories other than the ROM 502 and the RAM 503. The processor 501 may also perform various operations of method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.
According to an embodiment of the present disclosure, electronic device 500 may also include an input/output (I/O) interface 505, input/output (I/O) interface 505 also being connected to bus 504. The electronic device 500 may also include one or more of the following components connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as an LAI card, modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
The present disclosure also provides a computer-readable storage medium, which may be embodied in the device/apparatus/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The above-mentioned computer-readable storage medium carries one or more programs which, when executed, implement the transmission and reception methods of the multi-antenna system according to the embodiments of the present disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include ROM 502 and/or RAM 503 and/or one or more memories other than ROM 502 and RAM 503 described above.
Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method illustrated in the flow chart. When the computer program product runs in a computer system, the program code is used for causing the computer system to realize the transmission and reception method of the multi-antenna system provided by the embodiment of the disclosure.
The computer program performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure when executed by the processor 501. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed in the form of a signal on a network medium, downloaded and installed through the communication section 509, and/or installed from the removable medium 511. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program, when executed by the processor 501, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, pythoi, "C" or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In situations involving remote computing devices, the remote computing devices may be connected to the user computing device through any kind of network, including a local area network (LAI) or a wide area network (WAI), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.
The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the disclosure, and these alternatives and modifications are intended to fall within the scope of the disclosure.

Claims (11)

1. A method for transmitting and receiving in a multi-antenna system, the method comprising:
determining a target matrix according to the number of the transmitting antennas and the channel matrix of the multi-antenna system;
constructing a pre-coding matrix and a preprocessing matrix according to the eigenvalue of the target matrix and the elements of the target matrix;
and carrying out coding and decoding operation on the sending signals according to the pre-coding matrix and the pre-processing matrix.
2. The method of claim 1, wherein the determining a target matrix according to the number of transmit antennas and the channel matrix of the multi-antenna system comprises:
when the number of the transmitting antennas is equal to 2, determining a conjugate transpose matrix of a channel matrix of the multi-antenna system; and
and determining a target matrix according to the channel matrix of the multi-antenna system and the conjugate transpose matrix.
3. The method of claim 1, wherein determining the target matrix according to the number of transmit antennas and the channel matrix of the multi-antenna system further comprises:
when the number of the transmitting antennas is more than 2, selecting any orthogonal matrix F and a channel matrix of the multi-antenna system to construct an initial matrix;
and determining a target matrix according to the initial matrix and the channel matrix of the multi-antenna system.
4. The method of claim 3, wherein the selecting an arbitrary orthogonal matrix F and a channel matrix of the multi-antenna system to construct an initial matrix comprises:
selecting an arbitrary orthogonal matrix F, wherein the orthogonal matrix F satisfies
Figure FDA0003947541320000011
Said N is tx The number of transmitting antennas;
determining an intermediate matrix according to the orthogonal matrix F and a channel matrix of the multi-antenna system;
calculating a modulus of a column vector of the intermediate matrix;
selecting two column vectors with maximum modulus values to construct an initial matrix
Figure FDA0003947541320000012
5. The method of claim 1, wherein constructing a precoding matrix and a pre-processing matrix according to eigenvalues of the target matrix and elements of the target matrix comprises:
calculating a first eigenvalue and a second eigenvalue of the target matrix;
constructing a precoding matrix according to the first eigenvalue, the second eigenvalue and elements of the target matrix; and
and determining a preprocessing matrix according to the precoding matrix and the channel matrix.
6. A transmitting and receiving apparatus of a multi-antenna system, comprising:
the target matrix determining module is used for determining a target matrix according to the number of the transmitting antennas and the channel matrix of the multi-antenna system;
a pre-coding matrix constructing module, configured to construct a pre-coding matrix and a pre-processing matrix according to the eigenvalue of the target matrix and the element of the target matrix;
and the coding and decoding module is used for carrying out coding and decoding operation on the sending signals according to the pre-coding matrix and the preprocessing matrix.
7. The apparatus of claim 6, wherein the target matrix determination module comprises:
a first determining submodule, configured to determine a conjugate transpose matrix of a channel matrix of the multi-antenna system when the number of transmit antennas is equal to 2; and
and the second determining submodule is used for determining a target matrix according to the channel matrix of the multi-antenna system and the conjugate transpose matrix.
8. The apparatus of claim 6, wherein the target matrix determination module further comprises:
the third determining submodule is used for selecting any orthogonal matrix F and the channel matrix of the multi-antenna system to construct an initial matrix when the number of the transmitting antennas is more than 2;
and the fourth determining submodule is used for determining a target matrix according to the initial matrix and the channel matrix of the multi-antenna system.
9. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-5.
10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any one of claims 1 to 5.
11. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 5.
CN202211442702.6A 2022-11-17 2022-11-17 Method and device for transmitting and receiving multi-antenna system Pending CN115865153A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211442702.6A CN115865153A (en) 2022-11-17 2022-11-17 Method and device for transmitting and receiving multi-antenna system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211442702.6A CN115865153A (en) 2022-11-17 2022-11-17 Method and device for transmitting and receiving multi-antenna system

Publications (1)

Publication Number Publication Date
CN115865153A true CN115865153A (en) 2023-03-28

Family

ID=85663982

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211442702.6A Pending CN115865153A (en) 2022-11-17 2022-11-17 Method and device for transmitting and receiving multi-antenna system

Country Status (1)

Country Link
CN (1) CN115865153A (en)

Similar Documents

Publication Publication Date Title
WO2020207174A1 (en) Method and apparatus for generating quantized neural network
US11222264B1 (en) Method and device for recognizing space-frequency block code
US8255919B2 (en) Distributed processing system and method
CN112036558A (en) Model management method, electronic device, and medium
CN110826567A (en) Optical character recognition method, device, equipment and storage medium
CN111833895A (en) Audio signal processing method, apparatus, computer device and medium
CN112488172A (en) Method, device, readable medium and electronic equipment for resisting attack
CN110377273B (en) Data processing method, device, medium and electronic equipment
CN113592593B (en) Training and application method, device, equipment and storage medium of sequence recommendation model
US11611483B2 (en) Learning-based dynamic determination of synchronous/asynchronous behavior of computing services
CN115333583B (en) Signal detection method and device for multi-transmission multi-reception communication system
CN115865153A (en) Method and device for transmitting and receiving multi-antenna system
CN116561013B (en) Testing method and device based on target service framework, electronic equipment and medium
CN110489955B (en) Image processing, device, computing device and medium applied to electronic equipment
CN116151374B (en) Distributed model reasoning method, device, equipment, storage medium and program product
JP7073525B2 (en) Physical uplink control channel resource determination method and communication device
CN114742035B (en) Text processing method and network model training method based on attention mechanism optimization
CN115374207A (en) Service processing method and device, electronic equipment and computer readable storage medium
WO2020221041A1 (en) Transmission channel state sending method and device, transmission channel state receiving method and device, and storage medium
CN113612710B (en) Channel prediction method, device, equipment and medium
CN113448578A (en) Page data processing method, processing system, electronic device and readable storage medium
US9780446B1 (en) Self-healing antenna arrays
EP4369621A1 (en) Channel state information reporting method, channel state information receiving method, communication node, and storage medium
CN109240878B (en) Data processing method and device
CN115906983B (en) Distributed model training method, device, equipment, storage medium and program product

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination