CN116388890A - Channel reconstruction method, system and device - Google Patents
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- 238000005457 optimization Methods 0.000 claims description 10
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- H—ELECTRICITY
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- H04B17/00—Monitoring; Testing
- H04B17/0082—Monitoring; Testing using service channels; using auxiliary channels
- H04B17/0087—Monitoring; Testing using service channels; using auxiliary channels using auxiliary channels or channel simulators
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/20—Monitoring; Testing of receivers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
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- H—ELECTRICITY
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- H04L25/0204—Channel estimation of multiple channels
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/024—Channel estimation channel estimation algorithms
- H04L25/0242—Channel estimation channel estimation algorithms using matrix methods
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The embodiment of the invention discloses a channel reconstruction method, a system and a device, wherein multiple signal classification space spectrums are determined according to an acquired receiving signal matrix of an antenna array, a plurality of probe positions are selected based on the multiple signal classification space spectrums, a weight matrix corresponding to a probe is determined, and a channel is reconstructed based on the probe positions and the corresponding weight matrix. Therefore, the channel is reconstructed by taking the multiple signal classification space spectrum as a channel reconstruction criterion, so that the reconstructed channel has higher DOA resolution, and the accuracy of the reconstructed channel is improved.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a channel reconstruction method, system, and apparatus.
Background
Because of the great demands of mobile services for high data rates and low data delay, millimeter wave communication has become an important Technology in 5G cellular mobile communication systems, and large-scale multiple input multiple output (Massive MIMO) Technology and beamforming Technology have become key enhancements of physical layers, so related tests on how to perform Massive MIMO on Air-interface (OTA) have been attracting attention.
Currently, a space spectrum is mainly adopted as a channel reconstruction criterion, and a sector-based MPAC system is used for carrying out a null test of 5G Massive MIMO. When the channel only contains one wave beam, the method can perform accurate target channel reproduction, and perform wave beam related function test of the millimeter wave channel with better wave beam characteristic of the characterization channel.
However, in a communication scenario including a plurality of beams with different spatial angles, since the spatial resolution of the bard spatial spectrum is low, the anti-interference capability is weak, and in such a multi-beam scenario, when the bard spatial spectrum is used as a channel reconstruction criterion for channel reconstruction, interference is caused to a selected probe position, so that deviation occurs between the DOA (Direction Of Arrival, incoming wave direction) estimation of the analog channel and the target channel, the reconstruction accuracy of the analog channel is reduced, and a large test result error is caused.
Disclosure of Invention
In view of this, the embodiments of the present invention provide a method, a system and an apparatus for channel reconstruction, so as to solve the problem of lower accuracy of channel reconstruction.
In a first aspect, a channel reconstruction method is provided, the method comprising:
acquiring a receiving signal matrix of an antenna array;
determining multiple signal classification spatial spectrums according to the received signal matrix of the antenna array;
determining a plurality of selected probe positions and corresponding weight matrices based on the multiple signal classification spatial spectrum;
and reconstructing a channel based on the plurality of probe positions and the corresponding weight matrix.
Optionally, the received signal matrix includes received signals of a plurality of antennas, and the received signal matrix is determined based on spatial noise and a transmission signal of a transmitting end.
Optionally, the determining the multiple signal classification spatial spectrum according to the received signal matrix of the antenna array includes:
determining a received signal space covariance matrix of the antenna array according to the received signal matrix of the antenna array;
performing singular value decomposition on a received signal space covariance matrix of the antenna array to determine a noise subspace matrix;
and determining multiple signal classification space spectrums according to the noise subspace matrix and the steering vector matrix of the antenna array.
Optionally, the determining the selected plurality of probe positions and the corresponding weight matrix based on the multiple signal classification spatial spectrum includes:
constructing a target optimization equation according to the multiple signal classification space spectrum;
and solving the target equation in a convex optimization mode, and determining the selected multiple probe positions and the corresponding weight matrix.
In a second aspect, a multi-probe microwave camera system is provided, the system comprising:
the microwave darkroom is used for shielding electromagnetic wave interference outside the darkroom;
the terminal simulator is arranged outside the dark room and is used for transmitting a first signal;
the channel simulator is arranged outside the dark room and is used for carrying out channel fading on the first signal so as to acquire a second signal;
a power amplifier, disposed outside the dark room, for amplifying the power of the second signal;
the switch circuit is arranged outside the darkroom and used for controlling the connection of the corresponding probe and the darkroom circuit;
the probe wall is arranged in the darkroom and comprises a plurality of probes for transmitting and receiving signals.
Optionally, the terminal simulator, the channel simulator, the power amplifier and the switching circuit are electrically connected in sequence.
Optionally, the probes are connected with the switch circuit in a one-to-one correspondence manner, and the selected probes are communicated with the darkroom external circuit through the switch circuit.
In a third aspect, there is provided a channel reconstruction apparatus, the apparatus comprising:
an acquisition module configured to acquire a received signal matrix of the antenna array;
a first determining module configured to determine a multiple signal classification spatial spectrum from a received signal matrix of the antenna array;
a second determination module configured to determine a selected plurality of probe locations and corresponding weight matrices based on the multiple signal classification spatial spectrum;
and a reconstruction module configured to reconstruct a channel based on the probe locations and the corresponding weight matrix.
In a fourth aspect, there is provided an electronic device comprising a memory for storing one or more computer program instructions, and a processor, wherein the one or more computer program instructions are executed by the processor to implement the apparatus as described in the first aspect.
In a fifth aspect, there is provided a computer readable storage medium having stored therein a computer program which, when executed by a processor, implements an apparatus according to the first aspect.
According to the embodiment of the invention, multiple signal classification space spectrums are determined according to the acquired receiving signal matrixes of the antenna array, multiple probe positions are selected based on the multiple signal classification space spectrums, a weight matrix corresponding to the probe is determined, and a channel is reconstructed based on the probe positions and the corresponding weight matrix. Therefore, the channel is reconstructed by taking the multiple signal classification space spectrum as a channel reconstruction criterion, so that the reconstructed channel has higher DOA resolution, and the accuracy of the reconstructed channel is improved.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent from the following description of embodiments of the present invention with reference to the accompanying drawings, in which:
fig. 1 is a flow chart of a channel reconstruction method according to an embodiment of the present invention;
FIG. 2 is a flow chart of determining multiple signal classification spatial spectrums according to an embodiment of the invention;
FIG. 3 is a flow chart of determining a selected plurality of probe locations and corresponding weight matrices in accordance with an embodiment of the present invention;
FIG. 4 is a schematic diagram of a multi-probe microwave camera system according to an embodiment of the invention;
fig. 5 is a schematic diagram of a channel reconstruction device according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an electronic device according to an embodiment of the invention.
Detailed Description
The present invention is described below based on examples, but the present invention is not limited to only these examples. In the following detailed description of the present invention, certain specific details are set forth in detail. The present invention will be fully understood by those skilled in the art without the details described herein. Well-known methods, procedures, flows, components and circuits have not been described in detail so as not to obscure the nature of the invention.
Moreover, those of ordinary skill in the art will appreciate that the drawings are provided herein for illustrative purposes and that the drawings are not necessarily drawn to scale.
Meanwhile, it should be understood that in the following description, "circuit" refers to a conductive loop constituted by at least one element or sub-circuit through electrical connection or electromagnetic connection. When an element or circuit is referred to as being "connected to" another element or being "connected between" two nodes, it can be directly coupled or connected to the other element or intervening elements may be present and the connection between the elements may be physical, logical, or a combination thereof. In contrast, when an element is referred to as being "directly coupled to" or "directly connected to" another element, it means that there are no intervening elements present between the two.
Unless the context clearly requires otherwise, the words "comprise," "comprising," and the like in the description are to be construed in an inclusive sense as opposed to an exclusive or exhaustive sense; that is, it is the meaning of "including but not limited to".
In the description of the present invention, it should be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
Fig. 1 is a flowchart of a channel reconstruction method according to an embodiment of the present invention. As shown in fig. 1, the channel reconstruction method in the embodiment of the present invention includes the following steps:
step S110, a receiving signal matrix of the antenna array is obtained.
In some embodiments, the received signal matrix includes received signals for a plurality of antennas, the received signal matrix being determined based on spatial noise and transmit signals at the transmitting end.
Specifically, the reception signal matrix X (t) of the antenna is determined by the formula X (t) =as (t) +n (t).
Wherein X (t) = [ X ] 1 (t),x 2 (t),...,x m (t)] T M is more than or equal to 1 and less than or equal to M, and M is an integer, and x m (t) represents the received M-th antenna signal, S (t) represents M-dimensional transmit signal, N (t) represents M-dimensional spatial noise, A represents M x K-dimensional steering vector matrix, which can be expressed as
K is more than or equal to 1 and less than or equal to K, and K is an integer, < > or->
Represents the azimuth angle theta corresponding to the kth antenna k Indicating the elevation angle corresponding to the kth antenna.
Step S120, determining a multiple signal classification spatial spectrum according to the received signal matrix of the antenna array.
In some embodiments, as shown in fig. 2, the multiple signal classification spatial spectrum is determined by:
step S121, determining a spatial covariance matrix of the received signals of the antenna array according to the received signal matrix of the antenna array.
In some implementations, the r=e [ XX ] by the formula H ]＝AR s A H +σ 2 I M The received signal spatial covariance R is calculated.
Wherein A is a vector matrix of M x K dimensions, A H Represents the conjugate transpose of A, R s For the spatial covariance matrix corresponding to the transmitted signal, σ 2 Is the noise power, I M Is an identity matrix.
Step S122, performing singular value decomposition (Singular Value Decomposition) on the received signal space covariance matrix of the antenna array, and determining a noise subspace matrix.
Specifically, since the received signal of the antenna array is determined based on the spatial noise and the transmitted signal of the transmitting end, the received signal matrix of the antenna array includes the signal characteristics and the noise characteristics, so that the received signal spatial covariance matrix of the antenna array determined according to the received signal matrix of the antenna array also includes the signal characteristics and the noise characteristics, and therefore, the received signal spatial covariance matrix R of the antenna array can be decomposed into a signal subspace matrix and a noise subspace matrix by performing singular value decomposition, thereby obtaining the noise subspace matrix E.
Step S123, determining multiple signal classification space spectrums according to the noise subspace matrix and the steering vector matrix of the antenna array.
Specifically, based on the noise subspace matrix and the steering vector matrix of the antenna array, the method is based on the formula
Calculating multiple signal classification spatial spectrum P MUSIC (ψ)。
Wherein a (ψ) represents the sum of the values ofNormalized array steering vector corresponding to fixed space angle, E n Is a noise subspace matrix, a H (ψ) and
respectively represent a (ψ) and E n A corresponding conjugate transpose.
Step S130, determining a plurality of selected probe positions and corresponding weight matrixes based on the multiple signal classification space spectrum.
In some embodiments, as shown in fig. 3, the determining the selected plurality of probe positions and the corresponding weight matrix is determined by:
and S131, constructing a target optimization equation according to the multiple signal classification space spectrum.
In some embodiments, the spatial spectrum P is classified according to the multiple signals MUSIC (ψ) definition of analog channel spatial spectrum as
Constructing a target optimization equation according to the multiple signal classification space spectrum and the analog channel space spectrum:
s.t||w|| 1 ＝1,0≤w k ≤1；
wherein w= [ w ] 1 ,w 2 ,...,w k ]Is a probe weight vector.
And step S132, solving the target equation in a convex optimization mode, and determining a plurality of selected probe positions and corresponding weight matrixes.
In some implementations, the objective equation is solved by a convex optimization method, so as to obtain a global optimal solution of the objective equation, wherein the optimal solution comprises a plurality of probe positions and corresponding weight matrices, and therefore the selected plurality of probe positions and corresponding weight matrices are determined based on the optimal solution. In some implementations, the objective equation may be solved by various other existing means, which is not limited by the present embodiment.
Step S140, reconstructing a channel based on the plurality of probe positions and the corresponding weight matrix.
According to the embodiment of the invention, multiple signal classification space spectrums are determined according to the acquired receiving signal matrixes of the antenna array, multiple probe positions are selected based on the multiple signal classification space spectrums, a weight matrix corresponding to the probe is determined, and a channel is reconstructed based on the probe positions and the corresponding weight matrix. Therefore, the channel is reconstructed by taking the multiple signal classification space spectrum as a channel reconstruction criterion, so that the reconstructed channel has higher DOA resolution, and the accuracy of the reconstructed channel is improved.
FIG. 4 is a schematic diagram of a multi-probe microwave camera system according to an embodiment of the invention. As shown in fig. 4, the multi-probe microwave camera system includes a terminal simulator 41, a channel simulator 42, a power amplifier 43, a switching circuit 44, a microwave camera 45, and a probe wall 46.
The terminal simulator 41, the channel simulator 42, the power amplifier 43, and the switching circuit 44 are electrically connected in sequence. The terminal simulator 41 transmits a first signal, the first signal is subjected to channel fading through the channel simulator 42 to obtain a second signal, the second signal is amplified by the power amplifier 43, and then the second signal is connected into the microwave darkroom 45 through the switch circuit 44. The microwave darkroom 45 is used for manufacturing a closed space by using a wave absorbing material so as to manufacture a pure electromagnetic environment in the darkroom and shield electromagnetic wave interference outside the darkroom. Therefore, the test of wireless communication products and electronic products such as antennas, radars and the like in the microwave darkroom can avoid the interference of other electromagnetic waves, and the test precision and efficiency of the tested equipment are improved.
The probe wall 46 is arranged in the microwave darkroom 45, the probe wall 46 comprises a plurality of probes, the probes are connected with the switch circuits 44 in a one-to-one correspondence manner, and the selected probes are communicated with the darkroom external circuit through the switch circuits 44. It should be appreciated that the number of probes on the probe wall is not less than the number of the selected plurality of probes.
In some implementations, all probes on the probe wall are connected to circuitry outside the dark room through a switching circuit 44, and when a probe position is selected, the corresponding switch in the switching circuit 44 is closed, thereby completing the selected probe with circuitry outside the dark room. Specifically, the probe position may be selected according to the steps S110 to S130 described above. And simulating a target channel in the microwave darkroom 45 based on the plurality of probe positions and the corresponding weight matrix, thereby completing the channel reconstruction.
In some embodiments, the device under test 47 is present in the microwave camera 45. In some implementations, the terminal simulator 41 may be a base station, and the device under test 47 may be a user equipment, where when the base station is used as a transmitting end and the user equipment is used as a receiving end, the plurality of probes selected on the probe wall perform signal transmission in the microwave dark room based on the corresponding weights allocated by the probes, so as to reconstruct a channel in the microwave dark room, thereby enabling performance evaluation of the device under test 47. In other implementations, the ue may be used as a transmitting end, and the base station may be used as a receiving end, which is not limited in this embodiment.
According to the embodiment of the invention, multiple signal classification space spectrums are determined according to the acquired receiving signal matrixes of the antenna array, multiple probe positions are selected based on the multiple signal classification space spectrums, a weight matrix corresponding to the probe is determined, and a channel is reconstructed based on the probe positions and the corresponding weight matrix. Therefore, the channel is reconstructed by taking the multiple signal classification space spectrum as a channel reconstruction criterion, so that the reconstructed channel has higher DOA resolution, and the accuracy of the reconstructed channel is improved.
Fig. 5 is a schematic diagram of a channel reconstruction device according to an embodiment of the present invention. As shown in fig. 5, the apparatus includes an acquisition module 51, a first determination module 52, a second determination module 53, and a reconstruction module 54.
Wherein the acquisition module 51 is configured to acquire a received signal matrix of the antenna array. The first determining module 52 is configured to determine a multiple signal classification spatial spectrum from a matrix of received signals of the antenna array. The second determination module 53 is configured to determine a selected plurality of probe positions and corresponding weight matrices based on the multiple signal classification spatial spectrum. The reconstruction module 54 is configured to reconstruct the channels based on the probe locations and the corresponding weight matrices.
In some implementations, the received signal matrix includes received signals for a plurality of antennas, the received signal matrix being determined based on spatial noise and transmit signals at a transmitting end.
In some implementations, the first determination module 52 includes a first determination unit, a second determination unit, and a third determination unit. Wherein the first determining unit is configured to determine a received signal spatial covariance matrix of the antenna array based on the received signal matrix of the antenna array. The second determining unit is configured to perform singular value decomposition on a received signal space covariance matrix of the antenna array to determine a noise subspace matrix. The third determining unit is configured to determine a multiple signal classification spatial spectrum according to the noise subspace matrix and a steering vector matrix of the antenna array.
In some implementations, the second determination module 53 includes a construction unit and a calculation unit. Wherein the construction unit is configured to construct a target optimization equation from the multiple signal classification spatial spectrum. The computing unit is configured to solve the target equation in a convex optimization mode, and determine a plurality of selected probe positions and corresponding weight matrixes.
The embodiment of the invention also provides electronic equipment. Fig. 6 is a schematic diagram of an electronic device according to an embodiment of the invention. As shown in fig. 6, the electronic device shown in fig. 6 is a general address query device, which includes a general computer hardware structure including at least a processor 61 and a memory 62. The processor 61 and the memory 62 are connected by a bus 63. The memory 62 is adapted to store instructions or programs executable by the processor 61. The processor 61 may be a separate microprocessor or a collection of one or more microprocessors. Thus, the processor 61 performs the method flow of the embodiment shown in fig. 1 by executing instructions stored in the memory 62 to effect processing of data and control of other devices. The bus 63 connects the above-described components together, and connects the above-described components to the display controller 64 and the display device and the input/output (I/O) device 65. Input/output (I/O) devices 65 may be a mouse, keyboard, modem, network interface, touch input device, somatosensory input device, printer, and other devices known in the art. Typically, the input/output devices 65 are connected to the system through input/output (I/O) controllers 66.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, apparatus (device) or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may employ a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations of methods, apparatus (devices) and computer program products according to embodiments of the application. It will be understood that each of the flows in the flowchart may be implemented by computer program instructions.
These computer program instructions may be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows.
These computer program instructions may also be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows.
Another embodiment of the present invention is directed to a non-volatile storage medium storing a computer readable program for causing a computer to perform some or all of the method embodiments described above.
That is, it will be understood by those skilled in the art that all or part of the steps in implementing the methods of the embodiments described above may be implemented by specifying relevant hardware by a program, where the program is stored in a storage medium, and includes several instructions for causing a device (which may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps in the methods of the embodiments described herein. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, and various modifications and variations may be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method of channel reconstruction, the method comprising:
acquiring a receiving signal matrix of an antenna array;
determining multiple signal classification spatial spectrums according to the received signal matrix of the antenna array;
determining a plurality of selected probe positions and corresponding weight matrices based on the multiple signal classification spatial spectrum;
and reconstructing a channel based on the plurality of probe positions and the corresponding weight matrix.
2. The method of claim 1, wherein the received signal matrix comprises received signals for a plurality of antennas, the received signal matrix being determined based on spatial noise and transmit signals at a transmitting end.
3. The method of claim 1, wherein said determining multiple signal classification spatial spectrums based on a received signal matrix of said antenna array comprises:
determining a received signal space covariance matrix of the antenna array according to the received signal matrix of the antenna array;
performing singular value decomposition on a received signal space covariance matrix of the antenna array to determine a noise subspace matrix;
and determining multiple signal classification space spectrums according to the noise subspace matrix and the steering vector matrix of the antenna array.
4. The method of claim 1, wherein determining the selected plurality of probe locations and corresponding weight matrices based on the multiple signal classification spatial spectrum comprises:
constructing a target optimization equation according to the multiple signal classification space spectrum;
and solving the target equation in a convex optimization mode, and determining the selected multiple probe positions and the corresponding weight matrix.
5. A multi-probe microwave camera system, the system comprising:
the microwave darkroom is used for shielding electromagnetic wave interference outside the darkroom;
the terminal simulator is arranged outside the dark room and is used for transmitting a first signal;
the channel simulator is arranged outside the dark room and is used for carrying out channel fading on the first signal so as to acquire a second signal;
a power amplifier, disposed outside the dark room, for amplifying the power of the second signal;
the switch circuit is arranged outside the darkroom and used for controlling the connection of the corresponding probe and the darkroom circuit;
the probe wall is arranged in the darkroom and comprises a plurality of probes for transmitting and receiving signals.
6. The system of claim 5, wherein the terminal simulator, channel simulator, power amplifier and switching circuit are electrically connected in sequence.
7. The system of claim 5, wherein the plurality of probes are connected in a one-to-one correspondence with switching circuits by which the selected plurality of probes are connected to the darkroom circuit.
8. A channel reconstruction apparatus, the apparatus comprising:
an acquisition module configured to acquire a received signal matrix of the antenna array;
a first determining module configured to determine a multiple signal classification spatial spectrum from a received signal matrix of the antenna array;
a second determination module configured to determine a selected plurality of probe locations and corresponding weight matrices based on the multiple signal classification spatial spectrum;
and a reconstruction module configured to reconstruct a channel based on the probe locations and the corresponding weight matrix.
9. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method of any of claims 1-4.
10. A computer readable storage medium, on which computer program instructions are stored, which computer program instructions, when executed by a processor, implement the method of any of claims 1-4.
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