Wireless device radiation characteristic evaluation method, system, device and medium

Abstract

The invention relates to the technical field of antenna measurement and electromagnetic measurement, in particular to a method, a system and equipment for evaluating radiation characteristics of wireless equipment and a medium. The method comprises the following steps: acquiring electric field amplitude information of a main radiation section of to-be-tested wireless equipment; constructing a spectrum source calculation model according to the electric field amplitude information, wherein the spectrum source calculation model is a matrix equation between the electric field amplitude information and a spectrum source; calculating the wave spectrum source calculation model by adopting a non-convex optimization algorithm to obtain a wave spectrum source; and calculating the far-field radiation characteristics of the to-be-tested equipment according to the spectrum source. The method only needs to measure the electric field amplitude information of the main radiation tangent plane and only needs a power measuring instrument to realize wireless equipment radiation characteristic evaluation, so that sampling point data is greatly reduced, the cost of measuring facilities is reduced, and the method has the advantages of high efficiency and flexibility.

Description

Technical Field

[0001] The present invention relates to the technical field of antenna measurement and electromagnetic measurement, and in particular to a method, system, device and medium for evaluating radiation characteristics of a wireless device. Background Art

[0002] Near-field measurement technology is one of the most accurate existing technologies for measuring the radiation characteristics of wireless devices, and is widely used in the measurement of various military or civilian wireless devices. When performing near-field measurements, in order to accurately calculate the far-field radiation characteristics of the device under test, traditional technologies require not only the amplitude information of the near field, but also its phase information. However, with the development of modern antenna technology, wireless devices are showing a trend of integration and integration of antennas and back-end circuits, making it impossible for the measuring instrument to establish an RF connection with the device under test, making it difficult to obtain phase information, and thus making it impossible to evaluate the radiation characteristics through near-field measurements.

[0003] When phase information cannot be obtained, the current classic two-scan phase-free antenna measurement is based on phase recovery technology. According to the mode expansion theory in the near-far field transformation, the phase information is indirectly obtained by using the fast Fourier algorithm for phase iteration. However, the classic mode expansion theory requires that the scanning surface for obtaining the near-field data of the device under test must be a complete measurement surface such as a plane, cylinder, or sphere (plane wave expansion, cylindrical wave expansion, spherical wave expansion). Therefore, the traditional phase-free measurement method has the disadvantages of long scanning time and low computational efficiency. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a method, system, device and medium for evaluating the radiation characteristics of a wireless device in view of the deficiencies in the above-mentioned prior art, so as to solve the technical problems that the wireless device has a long scanning time and low calculation efficiency when lacking phase information.

[0005] The objective of the present invention is achieved by the following technical solutions: In a first aspect, the present invention provides a method for evaluating radiation characteristics of a wireless device, comprising: Obtaining near-field amplitude information of a main radiation section of the wireless device under test; Constructing a spectrum source calculation model according to the near-field amplitude information, wherein the spectrum source calculation model is a matrix equation between the electric field amplitude information and the spectrum source; Using a non-convex optimization algorithm to calculate the spectrum source calculation model to obtain a spectrum source; The far-field radiation characteristics of the wireless device under test are obtained by evaluating the spectral source.

[0006] As a further improvement of the present invention, the obtaining of the near-field amplitude information of the main radiation section of the wireless device to be tested specifically includes: A plurality of one-dimensional concentric circles with different radii and with the wireless device to be tested as the center are obtained as main radiation sections; Sampling is performed on different main radiation sections respectively, and the sampling points on each main radiation section are set according to the set sampling interval; Electromagnetic field measuring instruments are used to measure at the sampling points to obtain the near-field amplitude information corresponding to each main radiation section.

[0007] As a further improvement of the present invention, when the number of main radiation sections is 2, the circumferential radius of the first main radiation section satisfies:

[0008] The radius of the second main radial section satisfies:

[0009] In the formula, is the working wavelength of the wireless device under test, D is the physical aperture size of the antenna of the wireless device under test, is the radius of the first main radiation section, is the radius of the second main radial section.

[0010] As a further improvement of the present invention, the spectrum source calculation model is:

[0011]

[0012] In the formula, , Respectively represent the corresponding near-field amplitude information on the two main radiation sections; and They represent the radiation operators of the integral equations between the sampling surface and the equivalent source corresponding to the two main radiation sections; The near-field amplitude information corresponding to the main radiation section is:

[0013] To obtain the near-field amplitude information, is the spectral source, is the spherical Hankel function of the second kind, is the free space wave number, is the radius of the sampling circle, is the angular coordinate of the sampling point, Indicates the amplitude.

[0014] As a further improvement of the present invention, a non-convex optimization algorithm is used to calculate the spectrum source calculation model, specifically including: Set the maximum number of iterations, step size and weight parameters; An initialization solution is set according to the sampled near-field amplitude information; Iterate the set initialization solution according to the iteration formula until the preset number of iterations is reached, and output the solution of the matrix equation; The iteration formula is:

[0015] in,

[0016] In the formula, Indicates t The matrix equation solution obtained by iteration, m is the total number of sampling points, is the step length, is the weight parameter, is the intermediate coefficient.

[0017] As a further improvement of the present invention, setting the initialization solution according to the sampled near-field amplitude information also includes: The sampled near-field amplitude information is processed according to the principal component analysis method to determine the principal component and the principal component vector; random disturbances are generated around the principal component vector to form multiple candidate initial solutions; For each candidate initial solution, calculate the residual between the predicted amplitude and the actual amplitude; The candidate initial solution with the smallest residual is selected as the optimal initialization solution.

[0018] As a further improvement of the present invention, the far-field radiation characteristics of the device under test are calculated according to the spectrum source, specifically including:

[0019] In the formula, represents the far-field electric field of the wireless device under test, represents the spectral source, represents the spherical Hankel function at infinity.

[0020] In a second aspect, the present invention provides a wireless device radiation characteristic evaluation system, which is used to implement the above-mentioned wireless device radiation characteristic evaluation method, including: An amplitude information acquisition module is used to acquire the electric field amplitude information of the main radiation section of the wireless device to be tested; A calculation model building module, which builds a spectrum source calculation model according to the electric field amplitude information, wherein the spectrum source calculation model is a matrix equation between the electric field amplitude information and the spectrum source; A spectrum source calculation module, which uses a non-convex optimization algorithm to calculate the spectrum source calculation model to obtain a spectrum source; The radiation characteristic evaluation module evaluates based on the spectral source to obtain the far-field radiation characteristics of the device under test.

[0021] In a third aspect, the present invention provides a computer-readable storage medium storing one or more programs, the one or more programs including instructions which, when executed by a computing device, cause the computing device to execute the above-mentioned method for evaluating the radiation characteristics of a wireless device.

[0022] In a fourth aspect, the present invention provides a computing device, comprising: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include steps for executing the above-mentioned method for evaluating the radiation characteristics of a wireless device.

[0023] The beneficial effects of the present invention are as follows: The present invention provides a method for evaluating the radiation characteristics of a wireless device. High-resolution electromagnetic field data is obtained through near-field measurement, and an accurate spectral source calculation model is constructed to more accurately reflect the electromagnetic characteristics of the device under test. The non-convex optimization algorithm is used for spectral source calculation, which can find a solution close to the global optimum in a relatively short time and improve the calculation efficiency. The far-field radiation characteristics obtained through spectral source calculation can more accurately predict the electromagnetic radiation behavior of the device in actual applications. Due to the high efficiency of near-field measurement and spectral source calculation, the test time and cost required for traditional far-field measurement can be reduced. The present invention does not require measuring complete planar, cylindrical, or spherical data, can minimize the number of sampling points to the greatest extent, shorten the measurement time, improve the measurement efficiency, and make the test more flexible and efficient.

[0024] Furthermore, the method of the present invention only needs to measure amplitude information, and the measurement work can be completed using an electromagnetic field measurement instrument, which can minimize the instrument cost and overhead to the greatest extent.

[0025] Furthermore, the method of the present invention only needs to sample data on two circumferences to infer the far-field radiation characteristics of the device under test.

[0026] Furthermore, the non-convex optimization algorithm is used to solve the matrix equation. The algorithm can adapt to various environmental noises, can more accurately restore the phase information, and has good robustness. The reduction in the number of sampling points also improves the calculation speed of non-convex optimization, improves the calculation efficiency, and reduces the consumption of computing resources.

[0027] Furthermore, when setting the initialization solution in non-convex optimization, the present invention determines the principal component by principal component analysis and generates random perturbations around it, which can generate candidate initial solutions that are closer to the true solution, not only improving the quality of the initial solution, but also reducing the possibility of the optimization algorithm falling into the local optimum. By generating multiple candidate initial solutions and selecting the optimal one, the global search capability of the algorithm can be enhanced. This helps to find a solution that is closer to the global optimum, rather than just staying at the local optimum. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0029] Figure 1 It is a schematic diagram of the process of the method for rapid evaluation of radiation characteristics of wireless devices of the present invention; Figure 2 It is a test schematic diagram of a method for rapidly evaluating the radiation characteristics of a wireless device according to the present invention; Figure 3 is a model diagram of the device under test in FEKO according to an embodiment of the present invention; Figure 4 is a schematic diagram of scanning a sampling surface in FEKO according to an embodiment of the present invention; Figure 5 It is a comparison diagram of the far-field directional diagram of the device under test in the FEKO simulation software and the far-field directional diagram calculated by the method proposed by the present invention.

[0030] Figure 6 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose and technical solution of the present invention clearer and easier to understand, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. The specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0032] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and specific embodiments, wherein the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0033] Example 1 like Figures 1 to 5As shown, this embodiment provides a method for evaluating the radiation characteristics of a wireless device. The far-field pattern of the device under test can be calculated by simply sampling the amplitude data on two concentric circles. The following is a specific implementation method.

[0034] First, obtain the near-field amplitude information of the main radiation section of the wireless device to be tested. The specific steps include: obtaining a number of one-dimensional concentric circles with different radii with the wireless device to be tested as the center as the main radiation section; sampling on different main radiation sections, and setting the sampling points on each main radiation section according to the set sampling interval; using an electromagnetic field measuring instrument to measure at the sampling points, and obtaining the near-field amplitude information corresponding to each main radiation section.

[0035] This embodiment mainly calculates the amplitude data on two main radiation sections to obtain the near-field amplitude information of the wireless device to be tested.

[0036] Assume that the device under test is located at the origin of the coordinate system, and scan and sample two one-dimensional concentric circles centered on the device under test, such as Figure 2 As shown. The circumferential radius of the first main radial section satisfies:

[0037] The radius of the second main radial section satisfies:

[0038] In the formula, is the working wavelength of the wireless device under test, D is the physical aperture size of the antenna of the wireless device under test, is the radius of the first main radiation section, is the radius of the second main radial section.

[0039] In this embodiment, the interval between sampling points on each circle is:

[0040] in It is the minimum radius of a sphere that surrounds the device under test with the measurement center as the center.

[0041] The electromagnetic field measuring instrument in this example can be a vector network analyzer with a probe, a spectrum analyzer, a field strength probe, etc. This embodiment uses a spectrum analyzer to measure the near-field amplitude information of the wireless device under test.

[0042] Secondly, a spectrum source calculation model is constructed according to the near-field amplitude information, and the spectrum source calculation model is a matrix equation between the electric field amplitude information and the spectrum source.

[0043] According to electromagnetic theory, there is the following relationship between the near-field amplitude information and the spectral source:

[0044] In the formula, To obtain the near-field amplitude information, is the spectral source, is the spherical Hankel function of the second kind, is the free space wave number, is the radius of the sampling circle, is the angular coordinate of the sampling point, Indicates the amplitude.

[0045] For the convenience of explanation, this embodiment uses the near field amplitude information After transformation, the simplified equation is:

[0046] in, is a vector consisting of measured field amplitude-only data of size ; is a column vector consisting of the spectral sources to be solved, with a size of ; is the radiation operator matrix, which establishes the relationship between the measured electric field amplitude and the spectral source.

[0047] During the test, the near-field amplitude data of different discrete points on two sampling circles are measured. Each measured near-field amplitude data is input into the simplified equation in turn. The near-field amplitudes obtained from two different sampling circles respectively constitute two matrix equations with the same solution (source):

[0048] in, , Respectively represent the corresponding near-field amplitude information on the two main radiation sections; and denote the radiation operators of the integral equations between the sampling surface and the equivalent source corresponding to the two main radiation sections. Therefore, let , , and finally we get the matrix equation that needs to be solved, that is, the spectrum source calculation model:

[0049] Among them, Representation Matrix A No. i row vectors, Representation vector y No. i Row, then, the matrix , .

[0050] Then, a non-convex optimization algorithm is used to calculate the spectrum source calculation model to obtain the spectrum source.

[0051] The measured near-field amplitude information is used as the input of the matrix equation that needs to be solved. , using a non-convex optimization algorithm to solve the spectral source . Solving the matrix equation using a non-convex optimization algorithm , the method is as follows: Input sampling amplitude data , m is the number of sampling points; set the maximum number of iterations T, step size And the weight parameters ; Set the initialization solution according to the sampled near-field amplitude information , where the initialization solution is the matrix The main eigenvector of ; the set initialization solution is iterated 0~T-1 times according to the iterative formula until the preset number of iterations is reached, and the solution of the matrix equation is output.

[0052] Specifically, the iteration formula is:

[0053] in,

[0054] In the formula, Indicates t The matrix equation solution obtained by iteration, m is the total number of sampling points, is the step length, is the weight parameter, is the intermediate coefficient.

[0055] Since non-convex optimization relies on initial values ​​and converges slowly, it is easy to fall into a local optimum. Therefore, in the process of setting the initialization solution, this embodiment also makes improvements according to the principal component analysis method and the random restart method to obtain the optimal initialization solution.

[0056] Specifically, the acquired near-field amplitude data is vectorized and converted into a form suitable for principal component analysis; Extract the principal component vector from the near-field amplitude matrix to determine the main change direction of the electric field amplitude data; this step includes: calculating the mean of each row of the near-field amplitude matrix, and using the mean to center the data, using the centralized data to calculate the covariance matrix, performing eigendecomposition on the covariance matrix to obtain eigenvectors and corresponding eigenvalues; and obtaining the principal component matrix based on the eigenvectors.

[0057] Generate random perturbations around the principal component vector to form multiple candidate initial solutions; project the near-field amplitude information into the principal component matrix to generate a basic candidate solution. Normalize the basic candidate solution, add random noise in the principal component direction to generate a perturbation solution, and randomly restart the solution based on the basic candidate solution and the perturbation solution to obtain multiple candidate initial solutions; for each candidate initial solution, calculate the residual between the predicted amplitude and the actual amplitude; select the candidate initial solution with the smallest residual as the optimal initialization solution.

[0058] Finally, the far-field radiation characteristics of the wireless device under test are obtained by evaluating the spectral source.

[0059] From the equation of the relationship between the far-field electric field and the spectral source, we can get:

[0060] In the formula, represents the far-field electric field of the wireless device under test, represents the spectral source, represents the spherical Hankel function at infinity.

[0061] Accurately draw far-field radiation characteristics such as far-field directivity diagram based on the far-field electric field of the wireless device under test.

[0062] This embodiment also includes a verification process, which is mainly verified by simulation software experiment method. All steps and conclusions are verified to be correct on electromagnetic simulation software Feko 2021 and mathematical calculation software Matlab 2024b.

[0063] In this embodiment, a horn antenna operating at 8 GHz is used as the device under test. Figure 3 As shown. Figure 4 In the method provided by the present invention, the device to be tested is located at the measurement center, and two scanning circles are set, with measurement radii of 0.6 meters and 0.8 meters respectively. The sampling interval on the circle is 1°, and the total number of sampling points is 720. By inputting the amplitude data on the two sampling circles obtained by sampling, the far-field radiation pattern of the antenna to be tested can be calculated, and the far-field radiation pattern calculated by the present invention is compared with the far-field radiation pattern obtained by running the Feko simulation software. The result is as follows: Figure 5 As shown, the reference pattern curve is the pattern obtained by Feko simulation, and the reconstructed pattern curve is the result obtained by the method disclosed in the present invention. As can be seen from the figure, the antenna pattern to be tested calculated by the present invention and the far-field pattern obtained by Feko simulation have a very high degree of consistency, indicating that the present invention can extrapolate the far-field characteristics of the device to be tested based on only two single-section amplitude data, greatly reducing the measurement time, and has the advantages of flexibility and efficiency.

[0064] In summary, the method in this embodiment calculates the radiation characteristics of the device under test only based on the amplitude information obtained in the near-field test. This method measures the radiation near field of the wireless device under test, and based on the single-section spectrum expansion, solves a spectrum source that can be completely equivalent to the main radiation surface of the device under test. The far-field radiation characteristics of the device under test are extrapolated through the single-section spectrum source, which can complete the radiation characteristics test and evaluation of the wireless device more quickly, flexibly and efficiently.

[0065] Example 2 This embodiment provides a wireless device radiation characteristic evaluation system, which is used to implement the wireless device radiation characteristic evaluation method in Embodiment 1, including: An amplitude information acquisition module is used to acquire the electric field amplitude information of the main radiation section of the wireless device to be tested; A calculation model building module, which builds a spectrum source calculation model according to the electric field amplitude information, wherein the spectrum source calculation model is a matrix equation between the electric field amplitude information and the spectrum source; A spectrum source calculation module, which uses a non-convex optimization algorithm to calculate the spectrum source calculation model to obtain a spectrum source; The radiation characteristic evaluation module evaluates the far-field radiation characteristics of the device under test based on the spectral source.

[0066] The specific implementation steps have been described in Example 1 and will not be repeated here.

[0067] Example 3 In one embodiment of the present invention, a computer-readable storage medium is provided, which belongs to a memory device of a terminal device and is mainly used to store programs and data. Computer-readable storage media include both storage media built into the terminal and extended storage media supported by the terminal. Specifically, any tangible medium that can store programs and be used by an instruction execution system, device or device falls into this category. The storage medium provides storage space for storing a terminal operating system and instructions (including one or more computer programs and their codes) that can be loaded and executed by a processor. Examples include electrical connections, portable disks, hard disks, RAM, ROM, EPROM / flash memory, optical fibers, CD-ROMs, optical storage devices, magnetic storage devices, etc., and combinations thereof.

[0068] In addition, computer-readable storage media also refers to data signals propagated in baseband or as carrier waves, which carry readable program codes and can be in the form of electromagnetic signals, optical signals, etc. Readable storage media are not limited to the above types, but also include other media that can send, propagate or transmit programs for use by instruction execution systems, devices or devices. Program codes can be transmitted by wireless, wired, optical cable, RF, etc.

[0069] Program code can be written in a variety of programming languages, such as object-oriented languages ​​(Python, Java, C++, etc.) and procedural languages ​​(C, etc.). The code can be executed completely or partially on the user's device, as a stand-alone software package, or partially / completely on a remote device. The remote device is connected to the user's device via a LAN, WAN, or Internet service provider.

[0070] The processor may load and execute one or more instructions stored in a computer-readable storage medium to implement the corresponding steps of the method for evaluating the radiation characteristics of a wireless device in the above embodiment; the processor may load and execute the following steps: Obtaining near-field amplitude information of a main radiation section of the wireless device under test; Constructing a spectrum source calculation model according to the near-field amplitude information, wherein the spectrum source calculation model is a matrix equation between the electric field amplitude information and the spectrum source; Using a non-convex optimization algorithm to calculate the spectrum source calculation model to obtain a spectrum source; The far-field radiation characteristics of the device under test are obtained by evaluating the spectral source.

[0071] Example 4 Figure 6 The present invention is a block diagram of an electronic device provided according to an embodiment.

[0072] See also Figure 6 The terminal device 600 is an electronic device, and the electronic device is in the form of a general computing device. The components of the electronic device may include but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different platform components (including the storage unit 620 and the processing unit 610), a display unit 640, etc.

[0073] The storage unit stores program codes, which can be executed by the processing unit 610, so that the processing unit 610 performs the steps according to various exemplary embodiments of the present invention described in the above method section of this specification. For example, the processing unit 610 can perform the following steps: Figure 1 Follow the steps shown in .

[0074] The storage unit 620 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 6201 and / or a cache memory unit 6202 , and may further include a read-only memory unit (ROM) 6203 .

[0075] The storage unit 620 may also include a program / utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0076] Bus 630 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0077] The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 600, and / or communicate with any device that enables the electronic device 600 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 650. Furthermore, the electronic device 600 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 via a bus 630. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms, etc.

Claims

1. A method for evaluating the radiation characteristics of a wireless device, characterized in that: include: Obtaining near-field amplitude information of a main radiation section of the wireless device under test; Constructing a spectrum source calculation model according to the near-field amplitude information, wherein the spectrum source calculation model is a matrix equation between the electric field amplitude information and the spectrum source; Using a non-convex optimization algorithm to calculate the spectrum source calculation model to obtain a spectrum source; The far-field radiation characteristics of the wireless device under test are obtained by evaluating the spectral source.

2. The method for evaluating the radiation characteristics of a wireless device according to claim 1, wherein: The obtaining of the near-field amplitude information of the main radiation section of the wireless device to be tested specifically includes: A plurality of one-dimensional concentric circles with different radii and with the wireless device to be tested as the center are obtained as main radiation sections; Sampling is performed on different main radiation sections respectively, and the sampling points on each main radiation section are set according to the set sampling interval; Electromagnetic field measuring instruments are used to measure at the sampling points to obtain the near-field amplitude information corresponding to each main radiation section.

3. The method for evaluating the radiation characteristics of a wireless device according to claim 2, wherein: When the number of main radiation sections is 2, the circumferential radius of the first main radiation section satisfies: The radius of the second main radial section satisfies: In the formula, is the working wavelength of the wireless device under test, D is the physical aperture size of the antenna of the wireless device under test, is the radius of the first main radiation section, is the radius of the second main radial section.

4. The method for evaluating the radiation characteristics of a wireless device according to claim 3, wherein: The spectrum source calculation model is: In the formula, , Respectively represent the corresponding near-field amplitude information on the two main radiation sections; and They represent the radiation operators of the integral equations between the sampling surface and the equivalent source corresponding to the two main radiation sections; The near-field amplitude information corresponding to the main radiation section is: In the formula, To obtain the near-field amplitude information, is the spectral source, is the spherical Hankel function of the second kind, is the free space wave number, is the radius of the sampling circle, is the angular coordinate of the sampling point, Indicates the amplitude.

5. The method for evaluating the radiation characteristics of a wireless device according to claim 1, wherein: The spectral source calculation model is calculated using a non-convex optimization algorithm, specifically including: Set the maximum number of iterations, step size and weight parameters; An initialization solution is set according to the sampled near-field amplitude information; Iterate the set initialization solution according to the iteration formula until the preset number of iterations is reached, and output the solution of the matrix equation; The iteration formula is: in, In the formula, Indicates t The matrix equation solution obtained by iteration, m is the total number of sampling points, is the step length, is the weight parameter, is the intermediate coefficient.

6. The method for evaluating the radiation characteristics of a wireless device according to claim 5, characterized in that: The initialization solution is set according to the sampled near-field amplitude information, and also includes: The sampled near-field amplitude information is processed according to the principal component analysis method to determine the principal component and the principal component vector; random disturbances are generated around the principal component vector to form multiple candidate initial solutions; For each candidate initial solution, calculate the residual between the predicted amplitude and the actual amplitude; The candidate initial solution with the smallest residual is selected as the optimal initialization solution.

7. The method for evaluating the radiation characteristics of a wireless device according to claim 1, wherein: The far-field radiation characteristics of the wireless device under test are inferred based on the spectrum source, including: In the formula, represents the far-field electric field of the wireless device under test, represents the spectral source, represents the spherical Hankel function at infinity.

8. A wireless device radiation characteristic evaluation system, used to implement the wireless device radiation characteristic evaluation method according to any one of claims 1 to 7, characterized in that: include: An amplitude information acquisition module is used to acquire the electric field amplitude information of the main radiation section of the wireless device to be tested; A calculation model building module, which builds a spectrum source calculation model according to the electric field amplitude information, wherein the spectrum source calculation model is a matrix equation between the electric field amplitude information and the spectrum source; A spectrum source calculation module, which uses a non-convex optimization algorithm to calculate the spectrum source calculation model to obtain a spectrum source; The radiation characteristic evaluation module evaluates the far-field radiation characteristics of the device under test based on the spectral source.

9. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions, which, when executed by a computing device, cause the computing device to execute the method for evaluating the radiation characteristics of a wireless device according to any one of claims 1 to 7.

10. A computing device, characterized in that: include: One or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include steps for executing the method for evaluating the radiation characteristics of a wireless device according to any one of claims 1 to 7.

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