CN116388891A - Method and device for rapidly reconstructing dynamic channel based on MPAC system - Google Patents
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Abstract
The embodiment of the invention discloses a method and a device for quickly reconstructing a dynamic channel based on an MPAC system. According to the embodiment of the invention, at least one target probe is determined in a plurality of candidate probes according to a spatial spectrum calculation formula, wherein the at least one target probe is used for channel reconstruction; determining the weight of each target probe; and determining a target weight vector corresponding to the at least one target probe for channel reconstruction according to the weight of each target probe. By the method, the selection and weight solving of the target probe can be rapidly realized, and the channel reconstruction efficiency of the MPAC test system in a dynamic channel scene is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for quickly reconstructing a dynamic channel based on an MPAC system.
Background
The fifth generation mobile communication technology (5th generation mobile network,5G) is the latest generation cellular mobile communication technology, and due to the great demands of the current mobile services on high data rate and low data delay, the performance targets of the 5G system are high data rate and low data delay, so that the application of the 5G system is more and more extensive, in particular, millimeter wave communication has become an important technology in the 5G system, and large-scale multiple input multiple output (Massive MIMO) technology and beamforming technology have become the keys of the physical layer, so how to perform air interface test of the 5G Massive MIMO is attracting attention.
In the prior art, a sector-based Multi-probe microwave darkroom (Multi-Probe Anechoic Chamber, MPAC) system is adopted to perform a null test of 5G Massive MIMO, firstly, a tester sets the number of probes in advance, then, a multislot algorithm is adopted to determine the position of the probe used in the null test and the weight corresponding to each probe, an analog channel with smaller deviation from a target channel is reconstructed to perform the null test, for the channel reconstruction, the multislot algorithm has higher reconstruction precision, but millimeter wave channels are time-varying channels and have high dynamic performance, so that the MPAC system is required to perform efficient dynamic analog channel synthesis in the millimeter wave null test, in the MPAC system, hundreds of potential probe positions are configured on the probe wall, only a few probes are required to participate in channel reconstruction, the multislot algorithm is utilized to perform probe selection and weight solution, and in particular, hundreds of cycles of secondary convex optimization operations are required to perform the probe selection and weight solution, the channel reconstruction efficiency is greatly reduced, and thus, the MPAC system cannot be further adapted to the dynamic performance of the MPAC system.
In summary, how to quickly implement probe selection and weight solution and improve the channel reconstruction efficiency of the MPAC test system in the dynamic channel scene is a problem to be solved at present.
Disclosure of Invention
In view of this, the embodiments of the present invention provide a method and apparatus for fast reconstructing a dynamic channel based on an MPAC system, which can fast implement probe selection and weight solution, and improve the channel reconstruction efficiency of an MPAC test system in a dynamic channel scene.
In a first aspect, an embodiment of the present invention provides a method for fast reconfiguration of a dynamic channel based on an MPAC system, where the method includes:
determining at least one target probe from a plurality of candidate probes according to a spatial spectrum calculation formula, wherein the at least one target probe is used for channel reconstruction;
determining the weight of each target probe;
and determining a target weight vector corresponding to the at least one target probe for channel reconstruction according to the weight of each target probe.
Optionally, the method further comprises:
and carrying out channel reconstruction according to the at least one target probe and the weight vector.
Optionally, the determining at least one target probe from the plurality of candidate probes according to the spatial spectrum calculation formula specifically includes:
determining a spatial spectrum value corresponding to each candidate probe in the plurality of candidate probes according to a spatial spectrum calculation formula;
and determining the at least one target probe according to the spatial spectrum values corresponding to the candidate probes.
Optionally, the determining, according to a spatial spectrum calculation formula, a spatial spectrum value corresponding to each candidate probe in the plurality of candidate probes specifically includes:
substituting the spatial angle of each candidate probe in the plurality of candidate probes into the spatial spectrum calculation formula, and determining the spatial spectrum value corresponding to each candidate probe in the plurality of candidate probes.
Optionally, the determining the at least one target probe according to the spatial spectrum values corresponding to the plurality of candidate probes specifically includes:
and sequencing the spatial spectrum values corresponding to the plurality of candidate probes according to the sequence from big to small, and determining the candidate probe corresponding to at least one spatial spectrum value sequenced at the forefront as the target probe.
Optionally, the determining the weight of each target probe specifically includes:
and carrying the spatial angle of each target probe into a weight calculation formula, and determining the weight of each target probe.
Optionally, the determining, according to the weight of each target probe, a target weight vector corresponding to the at least one target probe for channel reconstruction specifically includes:
determining a candidate weight vector corresponding to the at least one target probe according to the weight of each target probe;
and determining the target weight vector according to the candidate weight vector.
Optionally, the determining the target weight vector according to the candidate weight vector specifically includes:
and determining the ratio of the candidate weight vector to the candidate weight vector modulus value as the target weight vector.
Optionally, the dimension of the target weight vector is equal to the number of target probes.
In a second aspect, an embodiment of the present invention provides an apparatus for fast reconfiguration of a dynamic channel based on an MPAC system, where the apparatus includes:
a first determining unit configured to determine at least one target probe among a plurality of candidate probes according to a spatial spectrum calculation formula, wherein the at least one target probe is used for channel reconstruction;
a second determining unit, configured to determine a weight of each target probe;
and a third determining unit, configured to determine a target weight vector corresponding to the at least one target probe for channel reconstruction according to the weight of each target probe.
Optionally, the apparatus further comprises:
and the reconstruction unit is used for carrying out channel reconstruction according to the at least one target probe and the weight vector.
Optionally, the first determining unit is specifically configured to:
determining a spatial spectrum value corresponding to each candidate probe in the plurality of candidate probes according to a spatial spectrum calculation formula;
and determining the at least one target probe according to the spatial spectrum values corresponding to the candidate probes.
Optionally, the first determining unit is specifically further configured to:
substituting the spatial angle of each candidate probe in the plurality of candidate probes into the spatial spectrum calculation formula, and determining the spatial spectrum value corresponding to each candidate probe in the plurality of candidate probes.
Optionally, the first determining unit is specifically further configured to:
and sequencing the spatial spectrum values corresponding to the plurality of candidate probes according to the sequence from big to small, and determining the candidate probe corresponding to at least one spatial spectrum value sequenced at the forefront as the target probe.
Optionally, the second determining unit is specifically configured to:
and carrying the spatial angle of each target probe into a weight calculation formula, and determining the weight of each target probe.
Optionally, the third determining unit is specifically configured to:
determining a candidate weight vector corresponding to the at least one target probe according to the weight of each target probe;
and determining the target weight vector according to the candidate weight vector.
Optionally, the third determining unit is specifically further configured to:
and determining the ratio of the candidate weight vector to the candidate weight vector modulus value as the target weight vector.
Optionally, the dimension of the target weight vector is equal to the number of target probes.
In a third aspect, embodiments of the present invention provide a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement a method as in the first aspect or any of the possibilities of the first aspect.
In a fourth aspect, an embodiment of the present invention provides an electronic device comprising a memory and a processor, the memory storing one or more computer program instructions, wherein the one or more computer program instructions are executable by the processor to implement the method of the first aspect or any one of the possibilities of the first aspect.
According to the embodiment of the invention, at least one target probe is determined in a plurality of candidate probes according to a spatial spectrum calculation formula, wherein the at least one target probe is used for channel reconstruction; determining the weight of each target probe; and determining a target weight vector corresponding to the at least one target probe for channel reconstruction according to the weight of each target probe. By the method, the selection and weight solving of the target probe can be rapidly realized, and the channel reconstruction efficiency of the MPAC test system in a dynamic channel scene is improved.
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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 schematic diagram of an MPAC system of the prior art;
fig. 2 is a flowchart of a multislot algorithm in the prior art;
FIG. 3 is a flow chart of a method for fast reconstruction of dynamic channels based on an MPAC system in accordance with an embodiment of the present invention;
FIG. 4 is a flow chart of another method for dynamic channel fast reconstruction based on an MPAC system according to an embodiment of the present invention;
fig. 5 is a schematic diagram of an apparatus for fast reconfiguration of a dynamic channel based on an MPAC system according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The present disclosure is described below based on examples, but the present disclosure is not limited to only these examples. In the following detailed description of the present disclosure, certain specific details are set forth in detail. The present disclosure may be fully understood by those skilled in the art without a review of these details. Well-known methods, procedures, flows, components and circuits have not been described in detail so as not to obscure the nature of the disclosure.
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.
Unless the context clearly requires otherwise, the words "comprise," "comprising," and the like throughout the application are to be construed as including but not being exclusive or exhaustive; that is, it is the meaning of "including but not limited to".
In the description of the present disclosure, it is to 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 disclosure, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the prior art, a sector-based MPAC system is used to perform an air interface test of 5G Massive MIMO, where the structure of the MPAC system is shown in fig. 1, and the MPAC system includes a terminal simulator 101, a channel simulator 102, a power amplifier 103, a switch circuit 104, a sector probe wall 105 (may also be referred to as an OTA probe wall), a microwave darkroom 106, and a device under test 107, where the terminal simulator is used to simulate transmission and reception of terminal signals; the channel simulator is used for creating a multipath channel environment, including delay parameters, doppler, polarization and the like of a channel; the power amplifier compensates the loss power by utilizing a power amplifier; the switch circuit is used for connecting the channel simulator with probes at selected positions on the fan-shaped probe wall, specifically, in the actual test, not all probes on the fan-shaped probe wall are used for channel reconstruction, but part of the probes are selected to save hardware resources, and different probes are selected in real time by the switch circuit for channel reconstruction at different moments, so that the relevant test of a dynamic channel can be carried out; the probe is used for radiating and receiving signals facing to the equipment to be tested; the fan-shaped probe wall is a fixing device in the MPAC system and is used for placing a probe to cover incoming wave directions corresponding to most molecular diameters; the wave darkroom is a fixing device with wave absorbing materials paved inside and used for shielding external electromagnetic wave interference and eliminating internal signal emission.
The method comprises the steps that a tester presets the number of probes, then a multislot algorithm is adopted to determine the positions of the probes used in the air interface test and the weight corresponding to each probe, an analog channel with smaller deviation from a target channel is reconstructed to carry out the air interface test, and for channel reconstruction, the multislot algorithm has higher reconstruction precision, but millimeter wave channels are time-varying channels and have high dynamic performance, so that the millimeter wave air interface test requires the MPAC system to carry out efficient dynamic analog channel synthesis, in the MPAC system, hundreds of potential probe positions are configured on the probe wall, only hundreds of probes are selected to participate in channel reconstruction, the multislot algorithm is utilized to carry out probe selection and weight solution, and in particular, hundreds of cycles of convex optimization operations are required to be carried out to realize the probe selection and weight solution, wherein the hundreds of target optimization functions of the convex optimization operations are as follows:
s.t||w|| 1 ＝1,0≤w k ≤1.
wherein the P (ψ) is a target channel spatial spectrum, the
The method is characterized in that the method is a space spectrum (a function, determined according to the position and the angle of a probe) of a simulation channel, and w is a vector formed by probe weights; specifically, said->
The s.t represents a constraint relation, the algorithm flow of solving the above optimization problem by the multislot algorithm is shown in fig. 2, specifically, whether the number of probes is smaller than a set threshold K is judged, if yes, the processing is ended, if not, the weight optimization is performed on the probes, then n probes with the smallest weight are removed, whether the number of probes is smaller than the set threshold K is continuously judged, the algorithm is a greedy algorithm, the larger the weight of the probes is considered to be, the larger the contribution of the probes to the synthesis of an analog channel is, so that the final probe position and the corresponding weight can be obtained through the solution of cyclic convex optimization for several times, and then an analog channel with smaller deviation from a target channel is reconstructed, but the algorithm greatly reduces the efficiency of channel reconstruction, so that the MPAC system cannot adapt to the dynamic characteristics of the millimeter wave channel, and further the MPAC system is prevented from further testing the beam performance.
In an embodiment of the present invention, in order to solve the above-mentioned problems, a method for fast reconstructing a dynamic channel based on an MPAC system is provided, specifically as shown in fig. 3, fig. 3 is a flowchart of a method for fast reconstructing a dynamic channel based on an MPAC system according to an embodiment of the present invention, which specifically includes:
step S300, at least one target probe is determined in a plurality of candidate probes according to a spatial spectrum calculation formula, wherein the at least one target probe is used for channel reconstruction.
Specifically, determining a spatial spectrum value corresponding to each candidate probe in the plurality of candidate probes according to a spatial spectrum calculation formula; and determining the at least one target probe according to the spatial spectrum values corresponding to the candidate probes.
In one possible implementation manner, the determining, according to a spatial spectrum calculation formula, a spatial spectrum value corresponding to each candidate probe in the plurality of candidate probes specifically includes: substituting the spatial angle of each candidate probe in the plurality of candidate probes into the spatial spectrum calculation formula, and determining the spatial spectrum value corresponding to each candidate probe in the plurality of candidate probes.
In a possible implementation manner, the determining the at least one target probe according to the spatial spectrum values corresponding to the candidate probes specifically includes: and sequencing the spatial spectrum values corresponding to the plurality of candidate probes according to the sequence from big to small, and determining the candidate probe corresponding to at least one spatial spectrum value sequenced at the forefront as the target probe.
For example, the spatial spectrum calculation formula is as follows:
P(Ψ)＝a H (Ψ)Ra(Ψ)
＝a H (Ψ)[∮h(Φ)P r (Φ)h H (Φ)dΦ]a(Ψ),
wherein a (ψ) represents a normalized array steering vector corresponding to a particular spatial angle ψ, the value of which can be expressed as:
wherein the said
Representing a unit vector corresponding to a specific spatial angle ψ, said λ being the wavelength, said +.>
Then the spatial position vector corresponding to the mth antenna element in the array is represented, where M e {1,2,..m }, and (·) represents a point multiplication operation, where R represents the spatial covariance of the target channel, different target channels correspond to different R values, and where
Vector formed by channel response of each array antenna element relative to space angle phi, P r (phi) is a three-dimensional angle power spectrum, which can be expressed as pitch angle θ and azimuth angle +>
Assuming now that the power distributions in both directions are independent of each other, there are:
if each cluster obeys a truncated Laplacian distribution, the distribution of angle ε can be expressed as:
wherein epsilon is an angle, Q L Constant to ensure phi P r (epsilon) depsilon=1, sigma is standard deviation, epsilon 0 Is the average angle of epsilon.
In a possible implementation manner, assuming that 100 candidate probes are arranged on a fan-shaped probe wall, substituting the spatial angle of each probe into the spatial spectrum calculation formula, determining the spatial spectrum value corresponding to each candidate probe in the 100 candidate probes, then sequencing the spatial spectrum values corresponding to the 100 candidate probes according to the sequence from big to small, and determining the candidate probe corresponding to the K spatial spectrum values sequenced at the forefront as the target probe, wherein the K can be 10 and 8 equivalent values, and is determined according to the actual situation.
Step S301, determining the weight of each target probe.
Specifically, the spatial angle of each target probe is brought into a weight calculation formula, and the weight of each target probe is determined.
In one possible implementation, the weight calculation formula is as follows:
assuming that 8 target probes are determined through the step S300, the spatial angles of the 8 target probes are brought into a weight calculation formula to obtain 8 weights, for example,
and->
Step S302, determining a target weight vector corresponding to the at least one target probe for channel reconstruction according to the weight of each target probe.
In one possible implementation manner, the determining, according to the weight of each target probe, a target weight vector corresponding to the at least one target probe for channel reconstruction specifically includes: determining a candidate weight vector corresponding to the at least one target probe according to the weight of each target probe; and determining the target weight vector according to the candidate weight vector.
Specifically, the candidate weight vector is expressed as:
wherein the dimension of the target weight vector is equal to the number of target probes, e.g., k=8.
In a possible implementation manner, the determining the target weight vector according to the candidate weight vector specifically includes:
and determining the ratio of the candidate weight vector to the candidate weight vector modulus value as the target weight vector.
Specifically, the target weight vector is expressed as:
in the embodiment of the present invention, after the step S302, the method further includes the following steps, specifically as shown in fig. 4, fig. 4 is a flowchart of a method for fast reconstructing a dynamic channel based on an MPAC system in the embodiment of the present invention, which specifically includes:
and step S303, carrying out channel reconstruction according to the at least one target probe and the weight vector.
For example, the 8 target probes and the weight vectors corresponding to the 8 target probes are subjected to channel reconstruction.
According to the embodiment of the invention, the analog channel with the minimum error with the target channel can be quickly constructed in the mode, and the probe selection and weight solving can be quickly realized without hundreds of convex optimization operations, so that the channel reconstruction efficiency of the MPAC test system in a dynamic channel scene is improved.
In the embodiment of the present invention, an apparatus for fast reconfiguration of a dynamic channel based on an MPAC system is provided, and in particular, as shown in fig. 5, the apparatus for fast reconfiguration of a dynamic channel based on an MPAC system includes a first determining unit 501, a second determining unit 502, and a third determining unit 503;
wherein, the first determining unit 501 is configured to determine at least one target probe from a plurality of candidate probes according to a spatial spectrum calculation formula, where the at least one target probe is used for channel reconstruction;
a second determining unit 502, configured to determine a weight of each target probe;
a third determining unit 503, configured to determine a target weight vector corresponding to the at least one target probe for channel reconstruction according to the weight of each target probe.
Further, the apparatus further comprises:
and the reconstruction unit is used for carrying out channel reconstruction according to the at least one target probe and the weight vector.
Further, the first determining unit is specifically configured to:
determining a spatial spectrum value corresponding to each candidate probe in the plurality of candidate probes according to a spatial spectrum calculation formula;
and determining the at least one target probe according to the spatial spectrum values corresponding to the candidate probes.
Further, the first determining unit is specifically further configured to:
substituting the spatial angle of each candidate probe in the plurality of candidate probes into the spatial spectrum calculation formula, and determining the spatial spectrum value corresponding to each candidate probe in the plurality of candidate probes.
Further, the first determining unit is specifically further configured to:
and sequencing the spatial spectrum values corresponding to the plurality of candidate probes according to the sequence from big to small, and determining the candidate probe corresponding to at least one spatial spectrum value sequenced at the forefront as the target probe.
Further, the second determining unit is specifically configured to:
and carrying the spatial angle of each target probe into a weight calculation formula, and determining the weight of each target probe.
Further, the third determining unit is specifically configured to:
determining a candidate weight vector corresponding to the at least one target probe according to the weight of each target probe;
and determining the target weight vector according to the candidate weight vector.
Further, the third determining unit is specifically further configured to:
and determining the ratio of the candidate weight vector to the candidate weight vector modulus value as the target weight vector.
Further, the dimension of the target weight vector is equal to the number of target probes.
Fig. 6 is a schematic diagram of an electronic device according to an embodiment of the invention. The electronic device shown in fig. 6 is a general-purpose data processing apparatus comprising a general-purpose computer hardware structure including at least a processor 601 and a memory 602. The processor 601 and the memory 602 are connected by a bus 603. The memory 602 is adapted to store instructions or programs executable by the processor 601. The processor 601 may be a stand-alone microprocessor or a collection of one or more microprocessors. Thus, the processor 601 performs the process of the data and control of other devices by executing instructions stored in the memory 602, thereby performing the method flow of the embodiment of the present invention as described above. The bus 603 connects the above components together, and connects the above components to the display controller 604 and the display device and input/output (I/O) device 605. Input/output (I/O) device 605 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 605 are connected to the system through input/output (I/O) controllers 606.
Wherein the instructions stored by the memory 602 are executable by the at least one processor 601 to implement: determining at least one target probe from a plurality of candidate probes according to a spatial spectrum calculation formula, wherein the at least one target probe is used for channel reconstruction; determining the weight of each target probe; and determining a target weight vector corresponding to the at least one target probe for channel reconstruction according to the weight of each target probe.
As will be appreciated by one skilled in the art, aspects of embodiments of the present invention may be embodied as a system, method or computer program product. Accordingly, aspects of embodiments of the invention may take the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, etc.) or an embodiment combining software and hardware aspects that may all generally be referred to herein as a "circuit," module "or" system. Furthermore, aspects of embodiments of the invention may take the form of: a computer program product embodied in one or more computer-readable media having computer-readable program code embodied thereon.
Any combination of one or more computer readable media may be utilized. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, 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), an optical fiber, 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 context of embodiments of the present invention, 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.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, such as in baseband or as part of a carrier wave. Such a propagated signal may take any of a variety of forms, including, but not limited to: electromagnetic, optical, or any suitable combination thereof. The computer readable signal medium may be any of the following: a computer-readable storage medium is not a computer-readable storage medium and can communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of embodiments of the present invention may be written in any combination of one or more programming languages, including: object oriented programming languages such as Java, smalltalk, C ++, etc.; and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package; executing partly on the user computer and partly on the remote computer; or entirely on a remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention described above describe aspects of embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, 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/acts specified in the flowchart and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable medium that can direct a computer, other programmable data processing apparatus, or other devices to function in a particular manner, such that the instructions stored in the computer-readable medium produce an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
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 for fast reconfiguration of a dynamic channel based on an MPAC system, the method comprising:
determining at least one target probe from a plurality of candidate probes according to a spatial spectrum calculation formula, wherein the at least one target probe is used for channel reconstruction;
determining the weight of each target probe;
and determining a target weight vector corresponding to the at least one target probe for channel reconstruction according to the weight of each target probe.
2. The method of claim 1, wherein the method further comprises:
and carrying out channel reconstruction according to the at least one target probe and the weight vector.
3. The method of claim 1, wherein the determining at least one target probe from among a plurality of candidate probes according to a spatial spectrum calculation formula, comprises:
determining a spatial spectrum value corresponding to each candidate probe in the plurality of candidate probes according to a spatial spectrum calculation formula;
and determining the at least one target probe according to the spatial spectrum values corresponding to the candidate probes.
4. The method of claim 3, wherein determining the spatial spectrum value corresponding to each of the candidate probes according to the spatial spectrum calculation formula specifically includes:
substituting the spatial angle of each candidate probe in the plurality of candidate probes into the spatial spectrum calculation formula, and determining the spatial spectrum value corresponding to each candidate probe in the plurality of candidate probes.
5. The method of claim 3, wherein the determining the at least one target probe from the spatial spectrum values corresponding to the plurality of candidate probes specifically comprises:
and sequencing the spatial spectrum values corresponding to the plurality of candidate probes according to the sequence from big to small, and determining the candidate probe corresponding to at least one spatial spectrum value sequenced at the forefront as the target probe.
6. The method of claim 1, wherein said determining the weight of each of said target probes comprises:
and carrying the spatial angle of each target probe into a weight calculation formula, and determining the weight of each target probe.
7. The method of claim 1, wherein the determining, according to the weight of each target probe, a target weight vector corresponding to the at least one target probe for channel reconstruction specifically includes:
determining a candidate weight vector corresponding to the at least one target probe according to the weight of each target probe;
and determining the target weight vector according to the candidate weight vector.
8. The method of claim 7, wherein the determining the target weight vector from the candidate weight vector comprises:
and determining the ratio of the candidate weight vector to the candidate weight vector modulus value as the target weight vector.
9. The method of claim 1, wherein the dimension of the target weight vector is equal to the number of target probes.
10. An apparatus for fast reconfiguration of a dynamic channel based on an MPAC system, the apparatus comprising:
a first determining unit configured to determine at least one target probe among a plurality of candidate probes according to a spatial spectrum calculation formula, wherein the at least one target probe is used for channel reconstruction;
a second determining unit, configured to determine a weight of each target probe;
and a third determining unit, configured to determine a target weight vector corresponding to the at least one target probe for channel reconstruction according to the weight of each target probe.
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