Double-layer transmission-type metasurface-assisted perception and resistance integrated anti-interference system and method

Abstract

The invention relates to the technical field of wireless communication, in particular to a double-layer transmission-type metasurface-assisted sensing and resisting integrated anti-interference system and method, a receiver controls a first-layer interference sensing TRIS to perform rapid agility, so that the first-layer interference sensing TRIS can perform multiple times of observation on an expected signal and an interference signal; the receiver estimates the direction of arrival according to the observation signal; the receiver solves an equation of interference channel state information according to the received direction-of-arrival estimation result; according to the channel state information of the interference channel, the receiver optimizes the phase shift of each array element of the second-layer interference resistance TRIS by taking the maximization of the signal to interference plus noise ratio as the optimization target, so that the expected signals are superposed in the same phase, the interference signals are cancelled in the opposite phase, and the anti-interference effect is realized. According to the invention, the double-layer transmission-type RIS is deployed at the front end of the receiving antenna to realize real-time sensing and resistance to interference signals, and the problem of insufficient real-time performance of the existing airspace anti-interference technology can be effectively solved.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technology, and in particular to a double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference system and method. Background Art

[0002] Due to the openness of wireless communication channels, the transmission of different signals will interfere with each other. As the electromagnetic environment becomes increasingly complex, the interference faced by wireless communication systems is also increasing, which has a serious impact on the quality of communication. Therefore, anti-interference technology has been widely studied in the industry. Existing research uses the difference between the desired signal and the interference signal in the transform domain to develop a variety of anti-interference technologies such as time, frequency, and spatial domains. Among them, spatial domain anti-interference technology starts from the perspective of signal reception, relying on antenna arrays and transmission channels to achieve differentiated reception of different signals to achieve anti-interference effects.

[0003] As a branch of airspace anti-interference technology, in recent years, the anti-interference system assisted by the Transmissive Reconfigurable Intelligent Surface (TRIS) has attracted the attention of the industry. In such systems, TRIS is usually set at the front end of the antenna of the transmitter or receiver. With its flexible and easy deployment and real-time reconfigurability, it enhances the array freedom of the transceiver and provides the possibility for achieving airspace anti-interference. In the actual working process, each unit of TRIS independently adjusts the phase, amplitude and other parameters of the incident signal to assist the transmitter in precoding at the transmitting end to improve the utilization of communication resources. At the receiving end, TRIS can simulate the multi-antenna system to generate the receiving pattern with lower power consumption and cost, and effectively receive the desired signal while zeroing the interference.

[0004] Although the existing airspace anti-interference scheme can achieve good anti-interference effects, it requires both parties to communicate to have prior information about the jammer to make corresponding designs. For malicious interference with strong concealment, it is difficult for the legitimate parties to obtain effective information about the interference signal in advance, so the existing scheme may fail. In addition, the existing scheme requires anti-interference design after obtaining effective information about the jammer, which makes it difficult to cope with rapidly changing interference. Therefore, in order to cope with flexible and changeable interference in actual situations, it is necessary to design an anti-interference system and method that integrates perception and resistance. Summary of the invention

[0005] Traditional antenna array anti-interference first needs to obtain the direction and channel information of the interference, and then generate the antenna pattern based on the above information so that the interference signal is received by the antenna null, thereby zeroing the interference. In the above method, obtaining the interference information and resisting the interference are carried out at different times. Once the interference signal changes position or channel, the original anti-interference design will fail. In order to overcome the defects of the prior art, the present invention proposes a double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference system and method, which utilizes the real-time reconfigurable characteristics of TRIS and combines its advantage of being able to be deployed in multiple layers to construct a perception-resistance integrated anti-interference system including interference-perceiving TRIS, interference-resistance TRIS and a receiver; further, based on the above system, a corresponding perception-resistance integrated anti-interference method is proposed to solve the real-time interference perception and resistance problems.

[0006] To achieve the above purpose, the technical solution adopted is:

[0007] A double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference system, comprising a first-layer interference perception TRIS, a second-layer interference resistance TRIS and a receiver;

[0008] The first layer of interference sensing TRIS includes a plurality of passive transmission array elements for interference sensing;

[0009] The second layer of interference resistance TRIS includes a plurality of passive transmission array elements for interference resistance;

[0010] The receiver includes a signal receiving device and an FPGA controller for controlling two layers of TRIS. The FPGA controller independently adjusts the phase of each array element on the two layers of TRIS to perform interference perception and resistance.

[0011] According to the double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference system of the present invention, further, the first layer of interference perception TRIS, the second layer of interference resistance TRIS and the receiver are respectively deployed in their respective near-field ranges.

[0012] Furthermore, the present invention also proposes a double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference method, which is based on the above-mentioned double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference system, and the method comprises:

[0013] The receiver configures the observation matrix to the first-layer interference perception TRIS, and configures the inverse matrix of the observation matrix to the second-layer interference resistance TRIS; the receiver controls the first-layer interference perception TRIS to perform fast agility, so that the first-layer interference perception TRIS can observe the desired signal and the interference signal multiple times, and the receiver estimates the direction of arrival based on the observed signal;

[0014] The receiver solves the equation for interference channel state information based on the received DOA estimation result;

[0015] According to the channel state information of the interference channel, the receiver optimizes the second-layer interference resistance TRIS phase shift with the goal of maximizing the signal-to-interference-noise ratio, so that the desired signal is superimposed in phase and the interference signal is canceled out in anti-phase, achieving an anti-interference effect.

[0016] According to the double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference method of the present invention, further, the receiver controls the first layer of interference perception TRIS to perform rapid agility according to the observation matrix; the observation matrix adopts a reversible orthogonal matrix that satisfies the dimension of the transmission RIS array element; the direction of arrival estimation algorithm adopts a subspace-based direction of arrival estimation algorithm or a compressed sensing-based estimation algorithm.

[0017] According to the double-layer transmissive metasurface assisted perception resistance integrated anti-interference method of the present invention, further, the receiver solves the interference channel state information according to the wave arrival direction estimation result, and the solution method adopts the least squares method or the blind estimation method.

[0018] According to the double-layer transmissive metasurface assisted perception resistance integrated anti-interference method of the present invention, further, according to the channel state information of the interference channel, the receiver optimizes the second layer interference resistance TRIS phase shift of each array element with maximizing the signal to noise ratio as the optimization goal, including:

[0019] After the signal is transmitted through each array element of the first layer of interference perception TRIS, a transmission multipath matching the number of array elements will be formed. After the signal reaches the second layer of interference resistance TRIS, each transmission multipath will be superimposed with the phase shift configured by each array element of the second layer of interference resistance TRIS, and then transmitted twice, and finally reaches the receiving antenna; therefore, by optimizing the phase shift of the second layer of interference resistance TRIS, the transmission multipath of the interference signal is superimposed in anti-phase when reaching the receiving antenna, while the transmission multipath of the desired signal is superimposed in phase when reaching the receiving antenna, thereby achieving anti-interference.

[0020] According to the double-layer transmissive metasurface assisted perception resistance integrated anti-interference method of the present invention, further, when optimizing the phase shift of each array element of the second-layer interference resistance TRIS, since the phase shift of each array element of TRIS has a modulo 1 constraint, the phase shift optimization problem with the goal of maximizing the signal-to-interference-noise ratio is a non-convex optimization problem and is difficult to solve directly. In order to solve this problem, it is necessary to convert it into a convex optimization problem. The convex optimization problem conversion method adopts a multi-dimensional complex quadratic transformation method, and the convex optimization problem solution method adopts a semi-positive definite programming method or an alternating direction multiplier method.

[0021] The beneficial effects achieved by adopting the above technical solution are:

[0022] 1. In view of the problem that interference perception and resistance are difficult to carry out simultaneously in the existing airspace anti-interference technology, resulting in the communication system being unable to effectively resist malicious interference with strong concealment, the present invention deploys a double-layer TRIS at the front end of the receiving antenna to enhance the airspace freedom of the receiving system, thereby realizing real-time perception and resistance of interference signals.

[0023] 2. In view of the problem that large-scale antenna arrays are difficult to deploy on the receiving side due to power consumption and cost, the present invention deploys TRIS to simulate antenna arrays, which can improve the anti-interference ability of existing receiving equipment while ensuring low power consumption and low cost, thereby facilitating promotion and application. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings of the embodiments of the present invention, wherein the drawings are only used to illustrate some embodiments of the present invention, but not to limit all embodiments of the present invention thereto.

[0025] Figure 1 It is a structural schematic diagram of a double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference system according to the first embodiment of the present invention;

[0026] Figure 2 It is a flow chart of the double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference method according to the second embodiment of the present invention;

[0027] Figure 3 This is an application example diagram of the double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference system of the third embodiment of the present invention. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings of specific embodiments of the present invention to clearly and completely describe the exemplary scheme of the embodiment of the present invention. Unless otherwise defined, the technical terms or scientific terms used in the present invention should be the common meanings understood by people with ordinary skills in the field.

[0029] Embodiment 1

[0030] like Figure 1 As shown, this embodiment discloses a double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference system, including a first layer of interference perception TRIS, a second layer of interference resistance TRIS and a receiver.

[0031] The first layer of interference perception TRIS includes multiple passive transmission array elements, and its main function is interference perception. The second layer of interference resistance TRIS includes multiple passive transmission array elements, and its main function is interference resistance.

[0032] The receiver includes a signal receiving device and an FPGA controller for controlling two layers of TRIS. The FPGA controller independently adjusts the phase of each array element on the two layers of TRIS to perform interference perception and resistance.

[0033] In the anti-interference system, the first-layer interference-aware TRIS, the second-layer interference-resistance TRIS and the receiver are deployed in their respective near-field ranges.

[0034] Embodiment 2

[0035] Based on the anti-interference system of the first embodiment, this embodiment discloses a double-layer transmissive metasurface-assisted perception resistance integrated anti-interference method, such as Figure 2 As shown, the method comprises the following steps:

[0036] Step S101: The receiver configures the observation matrix to the first-layer interference perception TRIS, and configures the inverse matrix of the observation matrix to the second-layer interference resistance TRIS; the receiver controls the first-layer interference perception TRIS to perform rapid agility, so that the first-layer interference perception TRIS can observe the desired signal and the interference signal multiple times, and the receiver estimates the direction of arrival based on the observed signal.

[0037] Step S102: The receiver solves the equation of interference channel state information according to the received direction of arrival estimation result.

[0038] Step S103: According to the channel state information of the interference channel, the receiver optimizes the second-layer interference resistance TRIS phase shift with the maximum signal to noise ratio as the optimization goal, so that the desired signal is superimposed in phase and the interference signal is canceled in anti-phase, thereby achieving an anti-interference effect.

[0039] In step S101, the receiver controls the first layer of interference perception TRIS to perform fast agility according to the observation matrix. The specific measurement matrix selection includes but is not limited to a reversible orthogonal matrix that satisfies the dimension of the transmission RIS array element, such as a Hadamard matrix. The specific direction of arrival estimation algorithm includes but is not limited to a subspace-based direction of arrival estimation algorithm and a compressed sensing-based estimation algorithm.

[0040] In step S102, the receiver solves interference channel state information according to the direction of arrival estimation result, and the solving method includes but is not limited to the least square method and the blind estimation method.

[0041] In step S103, according to the channel state information of the interference channel, the receiver optimizes the phase shift of each array element of the second-layer interference resistance TRIS with the optimization goal of maximizing the signal to noise ratio. Since the signal will form a transmission multipath matching the number of array elements after being transmitted through each array element of the first-layer interference sensing TRIS, after the signal reaches the second-layer interference resistance TRIS, each transmission multipath will be superimposed with the phase shift configured by each array element of the second-layer interference resistance TRIS, and then be transmitted twice, and finally reach the receiving antenna; therefore, by optimizing the phase shift of the second-layer interference resistance TRIS, the transmission multipath of the interference signal can be superimposed in anti-phase when reaching the receiving antenna, while the transmission multipath of the desired signal can be superimposed in phase when reaching the receiving antenna, thereby weakening the interference signal while enhancing the desired signal, and achieving an anti-interference effect.

[0042] When optimizing the phase shift of each TRIS array element to resist the second-layer interference, since the phase shift of each TRIS array element has a modulo 1 constraint, the phase shift optimization problem with the goal of maximizing the signal-to-interference-noise ratio is a non-convex optimization problem and is difficult to solve directly. In order to solve this problem, it is necessary to transform the original problem into a convex optimization problem that is easy to solve. Specific convex optimization problem transformation methods include but are not limited to multidimensional complex quadratic transformation methods. Specific convex optimization problem solution methods include but are not limited to semi-positive definite programming methods and alternating direction multiplier methods.

[0043] Embodiment 3

[0044] The double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference system of this embodiment can be applied to Figure 3 In the communication scenario shown.

[0045] The legal communication parties include an N A The system includes a first-layer interference sensing TRIS, a second-layer interference resistance TRIS, and a single-antenna receiver. Both layers of TRIS are equipped with M passive transmission array elements. The distance between the two layers of TRIS and the distance from the second layer of interference resistance TRIS to the receiving antenna are both less than the Rayleigh distance of the M-element TRIS, that is, the two layers of TRIS and the receiving antenna are all within their respective near-field ranges. In addition to the legal transceiver, there are two J A jammer with one antenna attempts to disrupt the normal communications between the legitimate parties.

[0046] In this communication scenario, the channel matrix from the transmitter to the first layer of interference-aware TRIS is defined as The channel matrix from the jammer to the first layer of interference-aware TRIS is: The channel matrix from the first layer of interference-aware TRIS to the second layer of interference-resistant TRIS is: The channel vector from the second layer interference resistance TRIS to the receiving antenna is is the directional response matrix of the first layer of interference perception TRIS, where θ i Indicates the direction of the signal, correspondingly, is the array manifold matrix of the first layer interference-aware TRIS. Similarly, the directional response of the second layer interference-resistant TRIS is The array manifold can be expressed as The expected signal transmitted by the legitimate transmitter is x = ω a s a ,in represents the transmitter precoding, s a is the transmission symbol. The interference signal transmitted by the jammer is j = ω j,k s j,k ,in is the precoding of each jammer, s j,k , k = 1, 2 are the symbols transmitted by each jammer. The additive white Gaussian noise at the legitimate receiver is

[0047] The double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference method of this embodiment includes the following steps:

[0048] Step S201: When the mixed signal of the desired signal and the interference signal reaches the first-layer interference-aware TRIS, the receiver controls the first-layer interference-aware TRIS through the FPGA controller to quickly and agilely change according to the designed observation matrix, so that the first-layer interference-aware TRIS can observe the desired signal and the interference signal multiple times, and the receiver estimates the direction of arrival (DoA) based on the observed signal.

[0049] When the interference signal and the desired signal reach the first-layer interference-aware TRIS, the received signal of the first-layer interference-aware TRIS can be expressed as:

[0050]

[0051] Among them, the directional response matrix of TRIS Φ1(θ i ) represents the state of the TRIS electromagnetic unit that switches L times in a symbol period. Since TRIS is connected to a single RF link receiving antenna, the received signal is a one-dimensional vector when the state of the TRIS electromagnetic unit is fixed. i), since TRIS performs rapid changes in electromagnetic units within a symbol period, the receiving single RF link antenna can be equivalent to an L-element antenna array. At this time, the existing DOA estimation algorithm can be used for high-precision DOA estimation. When the number of samples is large, a subspace-based DOA estimation algorithm (such as the MUSIC multiple signal subspace classification algorithm) can be used. Under the conditions of few snapshots or even a single snapshot, a compressed sensing-based DOA estimation algorithm (such as the OMP orthogonal matching pursuit algorithm) can be used.

[0052] Step S202: After the receiver obtains the DoA estimation information, it solves the equation related to the interference channel state information (CSI).

[0053] Since the two parties in legitimate communication need to interact with each other when establishing communication, can be accurately known, and for By substituting the interference DOA estimation information into formula (1), we can obtain M×L equations related to the interference CSI. By solving these equations, we can recover

[0054] Step S203: When the mixed signal of the desired signal and the interference signal reaches the second-layer interference resistance TRIS after being transmitted through the first-layer interference perception TRIS, the receiver optimizes the phase shift of each array element of the second-layer interference resistance TRIS according to the CSI of the interference channel obtained in real time and the CSI of the legal channel obtained in advance through the pilot, with the goal of maximizing the signal to interference plus noise ratio (SINR), and configures the optimized phase shift to each array element through the FPGA controller.

[0055] After obtaining the interference channel CSI, it is necessary to design an optimized phase shift matrix in the second layer interference resistance TRIS to specifically offset the interference signal. In this embodiment, the signal received by the receiver is expressed as:

[0056]

[0057] In order to measure the anti-interference ability of the communication system, the received signal-to-interference-noise ratio is used as a quantitative indicator. Based on formula (2), the received signal-to-interference-noise ratio can be expressed as:

[0058]

[0059] By optimizing the phase shift of the second layer of interference resistance TRIS, the transmission multipath of the desired signal can be superimposed in phase when reaching the receiving antenna, while the interference signal is canceled in anti-phase, thereby weakening the strength of the interference signal while improving the strength of the desired signal to achieve an anti-interference effect. Therefore, the maximum signal-to-interference-noise ratio optimization problem (P1) established by the present invention can be expressed as:

[0060]

[0061] Since each TRIS array element has a modulo 1 constraint, optimizing the second-layer interference to resist the phase shift of each TRIS array element is a non-convex optimization problem. First, the multidimensional complex quadratic transform (MCQT) method is used to transform the non-convex optimization problem into a quadratically constrained quadratic programming (QCQP) problem. Then, a convex optimization method such as the semi-definite program (SDP) method or the alternating direction method of multipliers (ADMM) is used to solve it.

[0062] In summary, the present invention realizes real-time perception and resistance of interference signals by deploying a double-layer transmissive RIS at the front end of the receiving antenna. It can effectively solve the real-time problem faced by the existing airspace anti-interference technology, while improving the anti-interference capability of miniaturized communication equipment, reducing hardware costs, and facilitating promotion and application.

[0063] Unless otherwise specifically stated, the relative steps, numerical expressions and values ​​of the components and steps set forth in these embodiments do not limit the scope of the present invention.

[0064] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0065] The units and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person of ordinary skill in the art may use different methods to implement the described functions for each specific application, but such implementation is not considered to be beyond the scope of the present invention.

[0066] Those skilled in the art will appreciate that all or part of the steps in the above method can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a disk or an optical disk. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits, and accordingly, each module / unit in the above embodiment can be implemented in the form of hardware or in the form of software function modules. The present invention is not limited to any specific form of combination of hardware and software.

[0067] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference system, characterized in that: It includes a first-layer interference sensing TRIS, a second-layer interference resistance TRIS and a receiver; The first layer of interference sensing TRIS includes a plurality of passive transmission array elements for interference sensing; The second layer of interference resistance TRIS includes a plurality of passive transmission array elements for interference resistance; The receiver includes a signal receiving device and an FPGA controller for controlling two layers of TRIS. The FPGA controller independently adjusts the phase of each array element on the two layers of TRIS to perform interference perception and resistance.

2. The double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference system according to claim 1 is characterized in that: The first-layer interference-aware TRIS, the second-layer interference-resistance TRIS and the receiver are respectively deployed within their respective near-field ranges.

3. A double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference method, characterized in that: Based on the double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference system as claimed in claim 1 or 2, the method comprises: The receiver configures the observation matrix to the first-layer interference perception TRIS, and configures the inverse matrix of the observation matrix to the second-layer interference resistance TRIS; the receiver controls the first-layer interference perception TRIS to perform fast agility, so that the first-layer interference perception TRIS can observe the desired signal and the interference signal multiple times, and the receiver estimates the direction of arrival based on the observed signal; The receiver solves the equation for interference channel state information based on the received DOA estimation result; According to the channel state information of the interference channel, the receiver optimizes the second-layer interference resistance TRIS phase shift with the goal of maximizing the signal-to-interference-noise ratio, so that the desired signal is superimposed in phase and the interference signal is canceled out in anti-phase, achieving an anti-interference effect.

4. The double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference method according to claim 3 is characterized in that: The receiver controls the first layer of interference perception TRIS to perform fast agility according to the observation matrix; the observation matrix adopts a reversible orthogonal matrix that meets the dimension of the transmission RIS array element; the direction of arrival estimation algorithm adopts a subspace-based direction of arrival estimation algorithm or a compressed sensing-based estimation algorithm.

5. The double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference method according to claim 3 is characterized in that: The receiver solves the interference channel state information according to the wave direction estimation result, and the solution method adopts the least square method or the blind estimation method.

6. The double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference method according to claim 3 is characterized in that: According to the channel state information of the interference channel, the receiver optimizes the second-layer interference resistance phase shift of each TRIS array element with the goal of maximizing the signal-to-interference-noise ratio, including: After the signal is transmitted through each array element of the first layer of interference perception TRIS, a transmission multipath matching the number of array elements will be formed. After the signal reaches the second layer of interference resistance TRIS, each transmission multipath will be superimposed with the phase shift configured by each array element of the second layer of interference resistance TRIS, and then transmitted twice, and finally reaches the receiving antenna; therefore, by optimizing the phase shift of the second layer of interference resistance TRIS, the transmission multipath of the interference signal is superimposed in anti-phase when reaching the receiving antenna, while the transmission multipath of the desired signal is superimposed in phase when reaching the receiving antenna, thereby achieving anti-interference.

7. The double-layer transmissive metasurface-assisted perception-resistance integrated anti-interference method according to claim 6 is characterized in that: When optimizing the phase shift of each TRIS array element to resist the second-layer interference, since the phase shift of each TRIS array element has a modulo 1 constraint, the phase shift optimization problem with the goal of maximizing the signal-to-interference-noise ratio is a non-convex optimization problem and is difficult to solve directly. In order to solve this problem, it is necessary to transform it into a convex optimization problem. The convex optimization problem transformation method adopts the multi-dimensional complex quadratic transformation method, and the convex optimization problem solution method adopts the semi-positive definite programming method or the alternating direction multiplier method.

8. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 3 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 3 to 7 are implemented.

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