CN111669233B - Channel matrix selection method and device - Google Patents
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Abstract
The invention discloses a channel matrix selection method and a channel matrix selection device, relates to the field of communication, and is used for selecting a channel matrix with the minimum interference from a plurality of channel matrices. The channel matrix selection method comprises the following steps: firstly, a received signal and N channel matrixes are obtained, wherein N is an integer larger than 1. Then, each of the N channel matrices is subjected to a first processing according to the received signal to obtain N modulus values. And finally, according to the N module values, determining a channel matrix corresponding to the minimum module value in the N module values as a target channel matrix. The channel matrix selection method provided by the invention determines the channel matrix with the minimum interference through the module value corresponding to the channel matrix, thereby solving the problem of how to select the channel matrix with the minimum interference from a plurality of channel matrices.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a channel matrix selection method and apparatus.
Background
Channel detection is the estimation of an unknown transmitted signal vector from a channel matrix and received data. Acquiring the channel matrix is a key step of channel detection. However, in a scenario of multi-base station interference, multiple base stations may feed back multiple channel matrices, and how to select a channel matrix with the minimum interference for channel detection is one of the problems that needs to be solved by those skilled in the art.
Disclosure of Invention
The invention provides a channel matrix selection method and a channel matrix selection device, which are used for solving the problem of how to select a channel matrix with the minimum interference from a plurality of channel matrices.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a channel matrix selection method, including: firstly, a received signal and N channel matrixes are obtained, wherein N is an integer larger than 1. Then, each of the N channel matrices is subjected to a first processing according to the received signal to obtain N modulus values. And finally, according to the N module values, determining a channel matrix corresponding to the minimum module value in the N module values as a target channel matrix.
The channel matrix selection method provided by the invention determines the channel matrix with the minimum interference through the module value corresponding to the channel matrix, thereby solving the problem of how to select the channel matrix with the minimum interference from a plurality of channel matrices.
In a second aspect, the present invention provides a channel matrix selection apparatus, including: the device comprises an acquisition unit, a processing unit and a determination unit. The acquisition unit is used for acquiring a received signal and N channel matrixes, wherein N is an integer larger than 1. The processing unit is used for carrying out first processing on each channel matrix in the N channel matrixes to obtain N modulus values. The determining unit is configured to determine a target channel matrix, where the target channel matrix is a channel matrix corresponding to a minimum modulus value of the N modulus values.
In a third aspect, the present invention provides a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a channel matrix selection apparatus, cause the channel matrix selection apparatus to perform the channel matrix selection method as described in the first aspect.
In a fourth aspect, the present invention provides a computer program product comprising instructions which, when run on a channel matrix selection apparatus, cause the channel matrix selection apparatus to perform the channel matrix selection method according to the first aspect.
In a fifth aspect, the present invention provides a channel matrix selection apparatus, including: a processor and a memory, the memory for storing a program, the processor calling the program stored by the memory to perform the channel matrix selection method as described in the first aspect.
Reference may be made to the detailed description of the first aspect and various implementations thereof for specific descriptions of the second to fifth aspects and various implementations thereof in the present disclosure; moreover, the beneficial effects of the second aspect to the fifth aspect and the various implementation manners thereof may refer to the beneficial effect analysis of the first aspect and the various implementation manners thereof, and are not described herein again.
These and other aspects of the invention will be more readily apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of a communication system provided by an embodiment of the present invention;
fig. 2 is a first schematic diagram of a channel matrix selection apparatus according to an embodiment of the present invention;
fig. 3 is a first schematic diagram illustrating a channel matrix selection method according to an embodiment of the present invention;
fig. 4 is a schematic diagram illustrating a second channel matrix selection method according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a third channel matrix selection method according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a second channel matrix selection apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
In the following, terms related to the embodiments of the present invention are explained for the convenience of the reader.
The diagonal matrix is a matrix whose elements other than the main diagonal are all 0. A diagonal matrix can be considered to be the simplest of the matrices. The elements on the main diagonal of the diagonal matrix may be 0 or other values. The diagonal matrix with equal elements on the main diagonal is called the quantity matrix. The diagonal matrix in which the elements on the main diagonal are all 1 is called an identity matrix. The operation of the diagonal matrix comprises sum operation, difference operation, number multiplication operation and product operation of the same-order diagonal matrix, and the result is still the diagonal matrix.
The main diagonal is the diagonal from the top left corner to the bottom right corner in an nth order matrix or n-th order determinant. The ordered set of elements in the main diagonal is called the diagonal elements. For example, an nth order matrix having n rows and n columns, a row 1 and a first column of elements, a second row and a second column of elements, … …, a row n-1 and a column n-1 of elements, and a row n-column of elements may all be referred to as diagonal elements.
Fig. 1 is a schematic diagram of a communication system provided by an embodiment of the present invention. As shown in fig. 1, the communication system may include a plurality of radio access network devices 100, one or more terminals 200, and one or more channel matrix selection apparatuses 300. Wherein the channel matrix selection device 300 may exist separately or be integrated with the terminal 200.
The radio access network apparatus 100 is configured to transmit a channel matrix and receive a signal to the terminal 200.
And the terminal 200 is configured to receive the channel matrix and the received signal sent by the radio access network device 100, and estimate an unknown transmission signal vector according to the channel matrix and the received signal.
Channel matrix selection means 300 for determining a target channel matrix from the channel matrices received by terminal 200.
The radio access network device described in the embodiment of the present invention may be any device with a wireless transceiving function, including but not limited to: a global system for mobile communications (GSM) or a base station (BTS) in CDMA, a base station (NodeB) in WCDMA, an evolved Node B (NodeB or eNB or e-NodeB) in LTE, a base station (gnnodeb or gNB) or a transmission point (TRP) in NR, a base station for 3GPP subsequent evolution, an access Node in WiFi system, a wireless relay Node, a wireless backhaul Node, and the like.
The base station may be: macro base stations, micro base stations, pico base stations, small stations, relay stations, etc. Multiple base stations may support the same technology network as mentioned above, or different technologies networks as mentioned above. A base station may contain one or more co-sited or non-co-sited Transmission Receiving Points (TRPs).
The radio access network device may also be a radio controller, a Centralized Unit (CU), and/or a Distributed Unit (DU) in a Cloud Radio Access Network (CRAN) scenario.
The following description will take a radio access network device as an example of a base station.
The radio access network devices may be base stations of the same type or different types. The base station may communicate with the terminal device, and may also communicate with the terminal device through the relay station. A terminal device may communicate with multiple base stations of different technologies. For example, the terminal device may communicate with a base station supporting an LTE network, may communicate with a base station supporting a 5G network, and may support dual connectivity with the base station of the LTE network and the base station of the 5G network.
The terminal described in the embodiment of the invention is a device with a wireless transceiving function, can be deployed on land, and comprises an indoor or outdoor, a handheld, a wearable or a vehicle-mounted terminal; can also be deployed on the water surface (such as a ship and the like); and may also be deployed in the air (e.g., airplanes, balloons, satellites, etc.). The terminal device may be a mobile phone (mobile phone), a tablet computer (Pad), a computer with a wireless transceiving function, a Virtual Reality (VR) terminal device, an Augmented Reality (AR) terminal device, a wireless terminal in industrial control (industrial control), a wireless terminal in self-driving (self-driving), a wireless terminal in remote medical (remote medical), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation safety (transportation safety), a wireless terminal in smart city (smart city), a wireless terminal in smart home (smart home), and the like.
A terminal may also sometimes be referred to as a terminal equipment, User Equipment (UE), access terminal equipment, UE unit, UE station, mobile station, remote terminal equipment, mobile device, UE terminal equipment, wireless communication device, UE agent, or UE device, etc. The terminals may also be fixed or mobile.
An embodiment of the present invention provides a channel matrix selection apparatus 300, and fig. 2 shows a hardware structure of the channel matrix selection apparatus 300. As shown in fig. 2, the channel matrix selection apparatus 300 may include at least one processor 301, a communication line 302, a memory 303, and a communication interface 304.
In particular, the processor 301 is configured to execute computer-executable instructions stored in the memory 303, thereby implementing steps or actions of the terminal.
The processor 301 may be a chip. For example, the Field Programmable Gate Array (FPGA) may be an Application Specific Integrated Circuit (ASIC), a system on chip (SoC), a Central Processing Unit (CPU), a Network Processor (NP), a digital signal processing circuit (DSP), a Micro Controller Unit (MCU), a Programmable Logic Device (PLD) or other integrated chips.
A communication line 302 for transmitting information between the processor 301 and the memory 303.
A memory 303 for storing computer executable instructions and controlled by the processor 301.
The memory 303 may be separate and coupled to the processor via the communication line 302. The memory 303 may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM). It should be noted that the memory of the systems and devices described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
A communication interface 304 for communicating with other devices or a communication network. The communication network may be an ethernet, a Radio Access Network (RAN), or a Wireless Local Area Network (WLAN).
The following describes a channel matrix selection method provided by an embodiment of the present invention with reference to the communication system shown in fig. 1 and the channel matrix selection apparatus 300 shown in fig. 2.
As shown in fig. 3, a channel matrix selection method provided in the embodiment of the present invention includes:
s301, acquiring a received signal and N channel matrixes.
Wherein N is an integer greater than 1. For example, N may be 2, 3, or another integer greater than 1.
Illustratively, the channel matrix selection apparatus 300 obtains the received signal 1, the channel matrix 2, the channel matrix 3, the channel matrix 4, and the channel matrix 5 from the terminal 200.
In another implementation manner of the embodiment of the present invention, S301 may also obtain N received signals and N channel matrices.
Wherein, the N receiving signals correspond to the N channel matrixes one by one. The received signals transmitted by the same base station correspond to the channel matrix. For example, the channel matrix selection apparatus 300 acquires 5 received signals and 5 channel matrices from the terminal 200. The 5 received signals are received signal 1, received signal 2, received signal 3, received signal 4, and received signal 5, respectively. The 5 channel matrixes are respectively a channel matrix 1, a channel matrix 2, a channel matrix 3, a channel matrix 4 and a channel matrix 5. Both the received signal 1 and the channel matrix 1 are transmitted by the base station 1. Both the received signal 2 and the channel matrix 1 are transmitted by the base station 2. Both the received signal 3 and the channel matrix 3 are transmitted by the base station 3. Both the received signal 4 and the channel matrix 4 are transmitted by the base station 4. Both the received signal 5 and the channel matrix 5 are transmitted by the base station 5. Then, the received signal 1 corresponds to the channel matrix 1. The received signal 2 corresponds to the channel matrix 2. The received signal 3 corresponds to the channel matrix 3. The received signal 4 corresponds to the channel matrix 4. The received signal 5 corresponds to the channel matrix 5.
Illustratively, the channel matrix selection apparatus 300 obtains a received signal 1, a received signal 2, a received signal 3, a received signal 4, a received signal 5, a channel matrix 1, a channel matrix 2, a channel matrix 3, a channel matrix 4, and a channel matrix 5 from the terminal 200.
S302, each channel matrix in the N channel matrixes is subjected to first processing according to the received signals to obtain N modulus values.
Wherein, N channel matrixes correspond to N module values one by one.
Illustratively, the channel matrix selection device 300 performs a first processing on the channel matrix 1 according to the received signal 1 to obtain a modulus 1. The channel matrix selection device 300 performs a first processing on the channel matrix 2 according to the received signal 1 to obtain a modulus 2. The channel matrix selection device 300 performs a first processing on the channel matrix 3 according to the received signal 1 to obtain a modulus 3. The channel matrix selection device 300 performs a first processing on the channel matrix 4 according to the received signal 1 to obtain a modulus 4. The channel matrix selection device 300 performs a first processing on the channel matrix 5 according to the received signal 1 to obtain a modulus 5.
In another implementation manner of the embodiment of the present invention, S301 may also perform first processing on each of the N channel matrices according to the N received signals to obtain N modulus values.
Illustratively, the channel matrix selection device 300 performs a first processing on the channel matrix 1 according to the received signal 1 to obtain a modulus 1. The channel matrix selection device 300 performs a first processing on the channel matrix 2 according to the received signal 2 to obtain a modulus 2. The channel matrix selection device 300 performs a first processing on the channel matrix 3 according to the received signal 3 to obtain a modulus 3. The channel matrix selection device 300 performs a first processing on the channel matrix 4 according to the received signal 4 to obtain a modulus 4. The channel matrix selection device 300 performs a first processing on the channel matrix 5 according to the received signal 5 to obtain a modulus 5.
Optionally, as shown in fig. 4, the first processing in S302 may include:
s401, carrying out matrix reconstruction on the channel matrix to obtain a projection matrix.
Illustratively, the channel matrix selecting device 300 performs matrix reconstruction on the channel matrix 1 to obtain the 1 st projection matrix. The channel matrix selection device 300 performs matrix reconstruction on the channel matrix 2 to obtain a 2 nd projection matrix. The channel matrix selection device 300 performs matrix reconstruction on the channel matrix 3 to obtain a 3 rd projection matrix. The channel matrix selection device 300 performs matrix reconstruction on the channel matrix 4 to obtain a 4 th projection matrix. The channel matrix selection device 300 performs matrix reconstruction on the channel matrix 5 to obtain a 5 th projection matrix.
Optionally, as shown in fig. 5, performing matrix reconstruction on the channel matrix to obtain a projection matrix includes:
s501, decomposing the channel matrix to obtain a first diagonal matrix and a unitary matrix.
Illustratively, the first diagonal matrix may be represented as:
alternatively, the channel matrix decomposition may be performed by Singular Value Decomposition (SVD), or other decomposition methods that can obtain the first diagonal matrix and the unitary matrix. The embodiment of the present invention is not limited thereto.
S502, sorting elements on the main diagonal in the first diagonal matrix to generate a second diagonal matrix.
Specifically, the elements on the main diagonal in the first diagonal matrix are sorted from large to small to generate a second diagonal matrix. And the M-th row or M-th column of elements on the main diagonal of the second diagonal matrix are the elements which are ordered as M on the main diagonal of the first diagonal matrix, and M is an integer greater than 0.
Illustratively, the elements on the main diagonal in the first diagonal matrix are 2, 1, 3, 0, 0, 5, 4, 6. The elements on the main diagonal in the first diagonal matrix are 6, 5, 4, 3, 2, 1, 0, after being sorted from large to small. The element of row 1 on the main diagonal of the second diagonal matrix is the element ordered 1 on the main diagonal in the first diagonal matrix, i.e. 6. The elements of row 2 on the main diagonal of the second diagonal matrix are the elements ordered as 2 on the main diagonal in the first diagonal matrix, i.e. 5. The other elements on the main diagonal of the second diagonal matrix and so on will not be described here.
For example, the elements on the main diagonal in the first diagonal matrix may be represented as:
the elements on the main diagonal in the second diagonal matrix may be represented as:
the second diagonal matrix may be represented as:
and S503, replacing elements on the main diagonal in the second diagonal matrix to generate a third diagonal matrix.
Specifically, a first element on the main diagonal of the second diagonal matrix is replaced by 0, and a second element on the main diagonal of the second diagonal matrix is replaced by 1, so as to obtain a third diagonal matrix.
The first element is an element which is not equal to 0 on the main diagonal of the second diagonal matrix, and the second element is an element which is equal to 0 on the main diagonal of the second diagonal matrix. For example, the elements on the main diagonal of the second diagonal matrix are 6, 5, 4, 3, 2, 1, 0, respectively, then 6, 5, 4, 3, 2, 1 are the first elements on the main diagonal of the second diagonal matrix, and 0, 0 are the second elements on the main diagonal of the second diagonal matrix.
For example, the elements on the main diagonal in the third diagonal matrix may be represented as:
the third diagonal matrix may be represented as:
and S504, obtaining a projection matrix according to the unitary matrix and the third diagonal matrix.
Concretely, the unitary matrix and the third diagonal matrix are substituted into a formula
To obtain a projection matrix. Wherein the content of the first and second substances,
is a third diagonal matrix, VHAs unitary matrix, V may be composed of VHAnd performing conjugation transposition to obtain the product.
Illustratively, the above process can be described by MATLAB language, as shown in table 1:
TABLE 1
Step 1, performing SVD on the channel matrix to obtain a first diagonal matrix and a unitary matrix, wherein element values on a main diagonal of the first diagonal matrix are singular values of the channel matrix.
Step 2, n ← size (H)iAnd 2) represents the column dimension of the acquisition channel matrix. Since all antenna arrays in the embodiments of the present invention are square arrays, the row dimension is also n. Since the channel matrix has the same row and column dimensions, step 2 may also be n ← size (H)i,1)，n←size(HiAnd 1) denotes a row dimension for acquiring a channel estimation matrix.
Step 3, a new matrix, that is, a second diagonal matrix, is to be constructed, the matrix is also a diagonal matrix, the dimension of which is the same as that of the first diagonal matrix, and elements on the main diagonal are also elements on the main diagonal in the first diagonal matrix, that is, the elements on the main diagonal of the second diagonal matrix are still singular values (element values) of the channel matrix, but the values need to be reordered, and the ordering result is:
the elements on the main diagonal of the second diagonal matrix are sorted from large to small, where the index q is the index of the last non-zero singular value (element value).
In step 4
For constructing a new diagonal matrix, i.e. the third diagonal matrix. The singular values (element values) on the principal diagonal of the third diagonal matrix are defined by the following rule:
Step 5, obtaining a projection matrix:
here VHIs the unitary matrix obtained in step 1; and the V matrix may be composed of VHAnd then obtaining the target by performing conjugation transpose once.
I.e. the new diagonal matrix as found above, new singular values (element values) are located on the diagonal.
Step 6, the projection matrix of the channel matrix fed back by all the base stations is put into a candidate set K: { H'1,H′2,H′3,...,H′n}。
S402, calculating a matrix to be solved according to the received signals and the projection matrix.
And receiving signals-receiving signals by a matrix i to be solved, wherein i is more than or equal to 1 and less than or equal to N. May be represented by H'iy-y，H′iFor the projection matrix i, y is the received signal.
Illustratively, the channel matrix selection device 300 calculates the matrix 1 to be solved according to the received signal 1 and the projection matrix 1. The channel matrix selection device 300 calculates a matrix 2 to be solved based on the received signal 1 and the projection matrix 2. The channel matrix selection device 300 calculates a matrix 3 to be solved based on the received signal 1 and the projection matrix 3. The channel matrix selection device 300 calculates a matrix 4 to be solved based on the received signal 1 and the projection matrix 4. The channel matrix selection means 300 calculates the matrix to be solved 5 from the received signal 1 and the projection matrix 5.
In another implementation manner of the embodiment of the present invention, according to S402, the following may also be performed:
and calculating a matrix to be solved according to the received signal and the projection matrix of the channel matrix corresponding to the received signal.
And receiving the signal i-receiving signal i by the matrix i to be solved, wherein i is more than or equal to 1 and less than or equal to N.
Illustratively, the channel matrix selection device 300 calculates the matrix 1 to be solved according to the received signal 1 and the projection matrix 1. The channel matrix selection device 300 calculates the matrix 2 to be solved based on the received signal 2 and the projection matrix 2. The channel matrix selection means 300 calculates the matrix 3 to be solved from the received signal 3 and the projection matrix 3. The channel matrix selection means 300 calculates the matrix 4 to be solved from the received signal 4 and the projection matrix 4. The channel matrix selection means 300 calculates the matrix to be solved 5 from the received signal 5 and the projection matrix 5.
And S403, carrying out module value solving on the matrix to be solved to obtain a module value.
Wherein, the modulus value of the matrix i to be solved can be expressed as | | H'iy-y||2It can also be expressed as | | | projection matrix i | | received signal-received signal | | calculation2Can also be expressed as I calculation matrix I calculation2。||A||2Representing the 2 norm of matrix a, the same holds for the rest.
Illustratively, the channel matrix selection device 300 performs a modulus solution on the solution matrix 1 to obtain a modulus 1. The channel matrix selection device 300 performs a module value solution on the solution matrix 2 to obtain a module value 2. The channel matrix selection device 300 performs a modulus solution on the solution matrix 3 to obtain a modulus 3. The channel matrix selection device 300 performs a module value solution on the solution matrix 4 to obtain a module value 4. The channel matrix selection device 300 performs a modulus solution on the solution matrix 5 to obtain a modulus 5.
And S303, determining a target channel matrix according to the N module values.
The target channel matrix is a channel matrix corresponding to the minimum module value of the N module values.
Can be based on
And selecting the channel matrix i corresponding to the value i with the lowest modulus value.
The target channel matrix may be used for channel detection. For example: for zero forcing detection, maximum likelihood algorithm detection, etc.
Illustratively, the module value 3 is the minimum module value among the module values 1, 2, 3, 4, and 5. The channel matrix selection device 300 determines the target channel matrix to be the channel matrix corresponding to the modulus 3, that is, the channel matrix selection device 300 determines the channel matrix 3 to be the target channel matrix.
It can be seen from the above steps (S301-S303) that the channel matrix selection method provided by the present invention determines the channel matrix with the minimum interference according to the modulus value corresponding to the channel matrix, thereby solving the problem of how to select the channel matrix with the minimum interference from a plurality of channel matrices.
The scheme provided by the embodiment of the invention is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the present invention can be implemented in hardware or a combination of hardware and computer software, with the exemplary elements and algorithm steps described in connection with the embodiments disclosed herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiment of the present invention, the channel matrix selection apparatus 300 may be divided into functional modules according to the above method, for example, each functional module may be divided according to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the embodiment of the present invention is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
The channel matrix selection apparatus 300 according to an embodiment of the present invention is configured to perform the channel matrix selection, and as shown in fig. 6, the channel matrix selection apparatus 300 includes: an acquisition unit 601, a processing unit 602, and a determination unit 603.
The obtaining unit 601 is configured to obtain a received signal and N channel matrices, where N is an integer greater than 1.
The processing unit 602 is configured to perform a first processing on each of the N channel matrices according to the received signal to obtain N modulus values.
The determining unit 603 is configured to determine a target channel matrix, where the target channel matrix is a channel matrix corresponding to a minimum module value of the N module values.
For example, in conjunction with fig. 3, the acquisition unit 601 may be configured to perform S301. The processing unit 602 may be configured to execute S302. The determination unit 603 may be configured to perform S303.
Optionally, the processing unit 602 is specifically configured to:
and carrying out matrix reconstruction on the channel matrix to obtain a projection matrix.
Optionally, performing matrix reconstruction on the channel matrix to obtain a projection matrix includes:
and decomposing the channel matrix to obtain a first diagonal matrix and a unitary matrix.
The elements on the main diagonal in the first diagonal matrix are sorted to generate a second diagonal matrix.
And the M-th row or M-th column of elements on the main diagonal of the second diagonal matrix are the elements which are ordered as M on the main diagonal of the first diagonal matrix, and M is an integer greater than 0.
And replacing elements on the main diagonal in the second diagonal matrix to generate a third diagonal matrix.
Optionally, replacing elements on the main diagonal in the second diagonal matrix to generate a third diagonal matrix includes:
and replacing the first element on the main diagonal of the second diagonal matrix with 0, wherein the first element is an element which is not equal to 0.
Replacing a second element on the main diagonal of the second diagonal matrix with 1 to obtain a third diagonal matrix, the second element being equal to an element of 0.
And obtaining a projection matrix according to the unitary matrix and the third diagonal matrix.
And calculating a matrix to be solved according to the received signals and the projection matrix.
And solving the modulus value of the matrix to be solved to obtain a modulus value.
Specifically, as shown in fig. 2 and 6. The acquisition unit 601, the processing unit 602, and the determination unit 603 in fig. 6 call a program in the memory 103 via the communication line 102 by the processor 101 in fig. 2 to execute the above-described channel matrix selection method.
The above units may be individually configured processors, or may be implemented by being integrated into one of the processors of the controller, or may be stored in a memory of the controller in the form of program codes, and the functions of the above units may be called and executed by one of the processors of the controller. The processor herein may be a CPU, or an ASIC, or one or more integrated circuits configured to implement embodiments of the present invention.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided by the present invention, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A method for channel matrix selection, comprising:
acquiring a received signal and N channel matrixes, wherein N is an integer greater than 1;
performing first processing on each channel matrix in the N channel matrices according to the received signals to obtain N modulus values;
determining a target channel matrix according to the N module values, wherein the target channel matrix is a channel matrix corresponding to the minimum module value in the N module values;
the first processing includes:
performing matrix reconstruction on the channel matrix to obtain a projection matrix;
calculating a matrix to be solved according to the received signals and the projection matrix, wherein the matrix to be solved i is the projection matrix i receiving the signals i-the received signals i, and i is more than or equal to 1 and less than or equal to N;
carrying out module value solving on the matrix to be solved to obtain a module value;
the matrix reconstruction of the channel matrix to obtain a projection matrix comprises:
decomposing the channel matrix to obtain a first diagonal matrix and a unitary matrix;
sorting elements on a main diagonal in the first diagonal matrix to generate a second diagonal matrix;
replacing elements on the main diagonal in the second diagonal matrix to generate a third diagonal matrix;
and obtaining a projection matrix according to the unitary matrix and the third diagonal matrix.
2. The channel matrix selection method of claim 1, wherein the element of the M-th row or M-th column on the main diagonal of the second diagonal matrix is an element ordered as M on the main diagonal of the first diagonal matrix, and M is an integer greater than 0.
3. The channel matrix selection method of claim 1, wherein the replacing elements on a main diagonal in the second diagonal matrix to generate a third diagonal matrix comprises:
replacing a first element on the main diagonal of the second diagonal matrix with 0, and replacing a second element on the main diagonal of the second diagonal matrix with 1 to obtain a third diagonal matrix, where the first element is an element not equal to 0, and the second element is an element equal to 0.
4. A channel matrix selection apparatus, comprising: the device comprises an acquisition unit, a processing unit and a determination unit;
the acquisition unit is used for acquiring a received signal and N channel matrixes, wherein N is an integer greater than 1;
the processing unit is used for carrying out first processing on each channel matrix in the N channel matrixes according to the received signals so as to obtain N modulus values;
the determining unit is configured to determine a target channel matrix, where the target channel matrix is a channel matrix corresponding to a minimum module value of the N module values;
the processing unit is specifically configured to:
performing matrix reconstruction on the channel matrix to obtain a projection matrix;
calculating a matrix to be solved according to the received signals and the projection matrix, wherein the matrix to be solved i is the projection matrix i receiving the signals i-the received signals i, and i is more than or equal to 1 and less than or equal to N;
carrying out module value solving on the matrix to be solved to obtain a module value;
the matrix reconstruction of the channel matrix to obtain a projection matrix comprises:
decomposing the channel matrix to obtain a first diagonal matrix and a unitary matrix;
sorting elements on a main diagonal in the first diagonal matrix to generate a second diagonal matrix;
replacing elements on the main diagonal in the second diagonal matrix to generate a third diagonal matrix;
and obtaining a projection matrix according to the unitary matrix and the third diagonal matrix.
5. The channel matrix selection device of claim 4, wherein the M row or M column of elements on the main diagonal of the second diagonal matrix are the elements ordered as M on the main diagonal of the first diagonal matrix, M being an integer greater than 0.
6. The apparatus of claim 4, wherein the replacing the elements on the main diagonal of the second diagonal matrix to generate the third diagonal matrix comprises:
replacing a first element on a main diagonal of the second diagonal matrix with 0, the first element being an element not equal to 0;
replacing a second element on a main diagonal of the second diagonal matrix with 1 to obtain a third diagonal matrix, wherein the second element is equal to an element of 0.
7. A channel matrix selection apparatus, comprising: a processor and a memory, the memory for storing a program, the processor calling the program stored by the memory to perform the channel matrix selection method of any one of claims 1-3.
8. A computer readable storage medium storing one or more programs, the one or more programs comprising instructions; the instructions, when executed by a channel matrix selection apparatus, cause the channel matrix selection apparatus to perform the channel matrix selection method of any of claims 1-3.
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| CN1941664A (en) * | 2005-09-30 | 2007-04-04 | 松下电器产业株式会社 | Transmission antenna selecting method and apparatus based on judge feedback in radio communication system |
| US7746766B2 (en) * | 2006-09-21 | 2010-06-29 | Sharp Laboratories Of America, Inc. | Systems and methods for obtaining an optimum transmission format of reference signals to maximize capacity and minimize peak to average power ratio |
| CN101908914B (en) * | 2009-06-02 | 2013-10-09 | 华为技术有限公司 | Space division multiple address (SDMA) relay transmission method, device and system |
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