Method and system for quantifying influence of dead zone amplitude-phase coning on antenna radiation characteristic parameters

Abstract

The invention provides a method for quantifying the influence of amplitude-phase tapering of a quiet zone on antenna radiation characteristic parameters, and the method comprises the steps: measuring the scattering data of a standard antenna based on a preset position point of the quiet zone of a compact range, and obtaining the actual measurement statistical characteristics; constructing a function model for describing coning distribution on the basis of the actually measured statistical characteristics, wherein the function model describes the relationship between amplitude coning and phase coning of the quiet zone and the spatial position; correcting an amplitude weight and a phase weight of the antenna array unit to be measured based on the function model; calculating a corrected array factor and a total directional diagram according to the amplitude weight and the phase weight; and determining a radiation characteristic parameter difference value of the to-be-tested antenna according to the corrected array factor and the total directional diagram. According to the invention, the influence of the amplitude-phase tapering of the quiet zone on the radiation characteristic parameters of the antenna is quantified, and simulation analysis based on numerical values can be realized.

Description

Technical Field

[0001] This invention relates to the field of antenna technology, and in particular to a method and system for quantifying the influence of static zone amplitude-phase taper on antenna radiation characteristic parameters. Background Technology

[0002] The Compact Antenna Test Range (CATR) is one of the core facilities for modern antenna radiation parameter measurement. It uses one or more reflectors to convert the spherical wave generated by a point-source feed antenna into a quasi-plane wave with good amplitude and phase uniformity within a quiet zone, thus simulating far-field test conditions over a finite distance. The quality of the quiet zone, i.e., the amplitude and phase uniformity of the plane wave within it, directly determines the accuracy of antenna measurements. In practical engineering, due to factors such as reflector manufacturing errors, installation alignment errors, feed phase center offset, and diffraction effects between multiple reflectors, the field distribution in the quiet zone inevitably suffers distortion, mainly manifested as amplitude tapering and phase tapering.

[0003] Existing technologies largely focus on evaluating the quality of the quiet zone itself, lacking a systematic theoretical model and simulation tools to quantitatively analyze how a given quiet zone distortion directly and specifically affects the key performance indicators (such as gain) of the antenna under test. Quantifying this impact is crucial for the engineering design of compact fields, error tolerance setting, and uncertainty analysis of measurement results. Although some literature discusses the influence of reflector errors on quiet zone performance, it has not established a convenient and universal analytical bridge from quiet zone distortion to the performance parameters of the antenna under test.

[0004] However, existing research has significant shortcomings regarding the mapping relationship between the quantitative characteristics of the quiet zone amplitude / phase taper and the measurement error of the antenna radiation characteristic parameters: a systematic correlation between different taper parameters (amplitude gradient, phase deviation range) and the measurement error of the antenna radiation characteristic parameters has not been established, making it difficult to predict the impact of quiet zone quality on measurement accuracy during the compact field design stage, requiring repeated debugging and optimization in the later stage, which significantly increases the research and development cost and cycle. Summary of the Invention

[0005] This invention provides a method for quantifying the influence of static zone amplitude-phase taper on antenna radiation characteristic parameters, the method comprising: Based on predetermined locations within the compact field quiet zone, the scattering data of a standard antenna is measured to obtain measured statistical characteristics. Based on the measured statistical characteristics, a functional model describing the tapering distribution is constructed. The functional model describes the relationship between the amplitude tapering and phase tapering of the quiet zone and the spatial location. The amplitude weights and phase weights of the antenna array elements under test are corrected based on the function model described above. The corrected array factor and total radiation pattern are calculated based on the amplitude weight and phase weight; The difference in radiation characteristic parameters of the antenna under test is determined based on the corrected array factor and the overall radiation pattern.

[0006] Optionally, the function model includes an amplitude tapering parabolic function model and a phase tapering parabolic function model. The parabolic parameters of the amplitude tapering parabolic function model are determined based on the maximum amplitude tapering value and the zero-point coordinate parameters of the amplitude tapering. The parabolic parameters of the phase tapering parabolic function model are determined based on the maximum phase tapering value and the zero-point coordinate parameters of the phase tapering.

[0007] Optionally, a functional model describing the taper distribution is constructed based on the measured statistical characteristics, including: for each amplitude taper maximum value m in the taper matrix... tm and the maximum value of phase taper p tm Each element calculates its own parabolic function coefficients; based on each parabolic function coefficient and the element position, the amplitude attenuation value and phase offset value of each element are calculated to generate the element taper value.

[0008] Optionally, the amplitude weights and phase weights of the antenna array elements under test are corrected based on the function model, including: ; ; in For the corrected magnitude weights, The corrected phase weights, The amplitude weighting is for the standard antenna, where j is the imaginary unit. , These are amplitude cutting and phase cutting, respectively, calculated based on the function model for a specific spatial location.

[0009] Optionally, the step of calculating the corrected array factor and total radiation pattern based on the amplitude weight and phase weight includes: using a double loop to traverse all preset m... tm and p tm The actual array factor and the actual total orientation pattern are calculated based on the weights after actual tapering.

[0010] Optionally, the method further includes: storing the difference in radiation characteristic parameters into a result matrix; and displaying the difference in radiation characteristic parameters and m using a three-dimensional surface plot. tm and p tm The functional relationship.

[0011] Optionally, the method further includes: fitting the difference in the radiation characteristic parameters to m using the least squares method. tm and p tmThe analytical expression of the function.

[0012] The present invention also provides an antenna radiation performance simulation and analysis platform system, the system comprising: The measured statistical feature data acquisition unit is used to acquire the measured statistical features of the scattering data of a standard antenna based on a predetermined location point in a compact field quiet zone. The tapering distribution model construction unit is used to construct a functional model describing the tapering distribution based on the measured statistical characteristics. The functional model describes the relationship between the amplitude tapering and phase tapering of the quiet zone and the spatial location. The weight correction unit is used to correct the amplitude weight and phase weight of the antenna array element under test based on the function model. An antenna feature generation unit is used to calculate the corrected array factor and total radiation pattern based on the amplitude weight and phase weight; The radiation characteristic parameter difference quantization unit is used to determine the radiation characteristic parameter difference of the antenna under test based on the corrected array factor and the overall radiation pattern.

[0013] The present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the program to implement the aforementioned method for quantifying the effect of static zone amplitude-phase taper on antenna radiation characteristic parameters.

[0014] The present invention provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, it implements the aforementioned method for quantifying the effect of static zone amplitude-phase taper on antenna radiation characteristic parameters.

[0015] The method for quantifying the impact of static zone amplitude-phase taper on antenna radiation characteristic parameters provided by this invention uses a real physical scenario to support the taper model. It can accurately quantify the functional relationship between static zone amplitude-phase taper and the distortion of the antenna's radiation characteristic parameters, enabling a shift from qualitative to quantitative assessment of measurement uncertainty in compact fields, significantly improving the reliability and accuracy of antenna measurement data. This method enables the implementation of an antenna radiation performance simulation and analysis platform system based entirely on numerical simulation methods. It boasts high computational speed, requires no expensive hardware investment or lengthy site measurements, and can flexibly adapt to various array antennas and static zone distortion assumptions, thus having a wide range of applications. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the method provided by the present invention for quantifying the influence of static zone amplitude-phase taper on antenna radiation characteristic parameters.

[0018] Figure 2 This is a schematic diagram of the antenna radiation performance simulation and analysis platform system provided by the present invention.

[0019] Figure 3 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0021] This invention proposes a method for quantifying the influence of static zone amplitude-phase taper on antenna radiation characteristic parameters, such as... Figure 1 As shown, the method includes: S1. Based on the predetermined location point of the compact field quiet zone, measure the scattering data of the standard antenna and obtain the measured statistical characteristics; S2. Based on the measured statistical characteristics, construct a functional model describing the tapering distribution. The functional model describes the relationship between the amplitude tapering and phase tapering of the quiet zone and the spatial location. S3. Based on the function model, correct the amplitude weight and phase weight of the antenna array element under test; S4. Calculate the corrected array factor and total radiation pattern based on the amplitude weight and phase weight; S5. Determine the difference in radiation characteristic parameters of the antenna under test based on the corrected array factor and overall radiation pattern.

[0022] In the above method, the proposed tapering function model is based on real physical scenarios, thus providing a tool that can accurately quantify the functional relationship between the amplitude-phase tapering in the quiet zone and the distortion of the radiation characteristic parameters of the antenna under test. This allows the assessment of measurement uncertainty in the compact field to move from qualitative to quantitative, significantly improving the reliability and accuracy of antenna measurement data.

[0023] Before obtaining measured statistical characteristics, basic parameters are initialized, including setting the speed of light and the operating frequency. For example, the speed of light is set to... The operating frequency is set to f==10GHz, which is adjustable, and the wavelength is calculated accordingly. With wavenumber Construct an angle network to determine the sampling points. For example, 500 sampling points can be set for θ from 0° to 180°, and 1000 sampling points can be set for φ from 0° to 360°.

[0024] In actual compact fields, the quadratic surface error of the antenna reflector or the spherical wave illumination characteristics of the feed will cause the quiet zone amplitude to decrease with the square of the radial distance from the center and the phase to deviate with the square of the radial distance. The parabolic model can accurately match this physical law. This invention correlates the maximum taper value with the spatial distribution by determining the parabolic coefficients b1 and b2 related to the amplitude and phase, thereby achieving quantitative control of different degrees of taper. The parabolic taper model can also be replaced by other function models (such as Gaussian functions) to simulate different forms of quiet zone error.

[0025] As a function implementation method, the function model includes an amplitude tapering parabolic function model and a phase tapering parabolic function model. The parabolic parameters of the amplitude tapering parabolic function model are determined based on the maximum amplitude tapering value and the zero-point coordinate parameters of the amplitude tapering. The parabolic parameters of the phase tapering parabolic function model are determined based on the maximum phase tapering value and the zero-point coordinate parameters of the phase tapering.

[0026] Based on the measured statistical characteristics, a functional model describing the taper distribution is constructed, including: for each amplitude taper maximum value m in the taper matrix. tm and the maximum value of phase taper p tm Each element calculates its own parabolic function coefficients; based on each parabolic function coefficient and the element position, the amplitude attenuation value and phase offset value of each element are calculated to generate the element taper value.

[0027] The tapering distribution is described by a parabolic function, and the tapering model is established as follows: Amplitude taper:

[0028] Phase taper:

[0029] Where b1 and b2 are parabolic coefficients, , m tm This represents the maximum amplitude taper value, in dB. tm The maximum value of the phase taper, in degrees, x qr1 y qr1and x qr2 y qr2 These are the zero-point coordinate parameters for amplitude and phase taper, respectively.

[0030] In this invention, the antenna under test is abstracted as a planar array with a specific weighting method (taking an 8×8 element array as an example). Combining the element radiation pattern (the microstrip patch antenna adopts the cosθ approximation model) and the array factor theory, a coupling relationship of "quiet zone taper - array weight correction - gain error" is established.

[0031] Those skilled in the art can easily modify the element pattern model according to the different types of antennas under test (such as replacing cosθ with a dipole pattern, importing pattern data through full-wave simulation, etc.), so the model of the antenna under test is not limited to a planar array. The array type of the antenna can be expanded. Only by modifying Nx, Ny and the weight calculation function, the array type can be expanded. For example, an 8×8 Chebyshev weighted array can be replaced with a Hanning window weighted array (Hanning function), a uniform weighted array (Ones function), or other array sizes (such as 16×16).

[0032] As one implementation method, the process of modeling the array antenna first defines the array parameters, including the number of array elements N in the x / y directions. x and N y (Take N) x = N y = 8), element spacing d x and d y (take d) x = d y =λ / 2), based on which the maximum position x in the x and y directions is calculated. max and y max (take separately) , ).

[0033] Based on the array element position (x, y) = (m - (N) x +1) / 2)d x 、(n-(N y +1) / 2)d y Calculate the amplitude attenuation for each array element: , ; Where m and n are integers, and take the following values ​​respectively: m = 1, 2, ..., N x , n=1, 2, ..., N y Phase offset for each element: .

[0034] The radiation characteristics of an array antenna are determined by the radiation of individual elements and the superposition of the array. Quiet zone tapering is essentially a modulation of the amplitude / phase of the incident wave in each element, which is equivalent to a correction of the array weight. By superimposing the array factors, the effect of tapering on the antenna radiation characteristics (such as gain) can be directly mapped, and thus the error of the radiation characteristic parameters of the array antenna under test can be obtained.

[0035] The amplitude and phase weights of the antenna array elements under test are corrected based on the function model, including: ; ; in For the corrected magnitude weights, The corrected phase weights, The amplitude weighting is for the standard antenna, where j is the imaginary unit. , These are amplitude cutting and phase cutting, respectively, calculated based on the function model for a specific spatial location.

[0036] By establishing a quantitative correlation between the taper parameters and the amplitude and phase weights of the radiating antenna array elements of the antenna under test, the measurement error can be predicted.

[0037] The step of calculating the corrected array factor and total radiation pattern based on the amplitude weight and phase weight includes: using a double loop to traverse all preset m... tm and p tm Combination, based on the weights after actual tapering: ,

[0038] In the formula It is made by m t The linear value of the transformation, m t The unit is dB.

[0039] Therefore, the actual array factor AF is calculated. t Compared with the actual general direction pattern E t This allows us to obtain the actual antenna radiation characteristic parameters (e.g., taking the actual maximum gain). t ), AF t and E t respectively with the ideal array factor AF id and E idl The calculation process is the same as described above, and no innovation is made in the calculation process. Furthermore, many specific calculation methods already exist in the prior art, so this invention will not elaborate further. The actual array factor AF after tapering...t The weight in each traversal loop is .

[0040] Calculate the difference between the actual antenna radiation characteristic parameters and the ideal antenna radiation characteristic parameters, and store the difference in radiation characteristic parameters in the result matrix; display the difference in radiation characteristic parameters and m through a three-dimensional surface plot. tm and p tm The functional relationship. For example, the antenna gain difference. diff =gain t - gain id And store it in the matrix gain matrix In the middle. id The calculation process is as follows: Under the assumption that the quiet zone is perfect and without taper, the contribution of each cell is accumulated (considering its position (x, y) and weight w). id Calculate the ideal array factor AF (including path difference, etc.) id Multiplying it by the element radiation pattern yields the ideal global radiation pattern E. idl Furthermore, based on the ideal overall orientation pattern E idl The specific ideal radiation characteristic parameters, i.e., the ideal maximum gain, are calculated. id .

[0041] By analyzing the generated three-dimensional response surface, engineers can gain a deeper understanding of the antenna's sensitivity to errors in different dimensions of the quiet zone. For example, the results often show that amplitude taper has a greater impact on gain than phase taper, a conclusion that has significant guiding implications for engineering practice.

[0042] The difference between the radiation characteristic parameters and m can be obtained by fitting the least squares method. tm and p tm The analytical expression of the function. As a specific implementation, the analytical expression of the antenna gain sensitivity to amplitude-phase taper is obtained below by fitting the least squares method: Linear analytical expression:

[0043] Quadratic analytical expression:

[0044] By fitting the analytical formula described above, a tool is provided that can accurately quantify the functional relationship between the phase taper in the quiet zone and the distortion of the radiation characteristic parameters of the antenna under test. This allows the assessment of measurement uncertainty in the compact field to move from qualitative to quantitative, significantly improving the reliability and accuracy of antenna measurement data.

[0045] The following is a detailed explanation of a real-world example.

[0046] The test subject was a mobile communication base station antenna of a certain type, operating in the frequency band of 1710MHz-2630MHz. It had two test ports with different polarization directions (+45° polarization port and -45° polarization port), and the antenna array was a planar array with 1×6 elements and a spacing of 10cm between elements. The test site was a laboratory compact field test area, which covered the frequency band of 2-40GHz, meeting the test frequency requirements of the antenna under test in this embodiment. For frequency selection, the two polarization ports were tested at the following seven frequency points: 2.0GHz, 2.1GHz, 2.2GHz, 2.3GHz, 2.4GHz, 2.5GHz, and 2.6GHz.

[0047] First, select predetermined locations with uniform distribution within the compact field quiet zone, place a standard gain antenna at each location, and measure its scattering data, including the amplitude response and phase response at different locations. Extract the measured statistical features, covering key information such as the maximum amplitude taper, the maximum phase taper, and zero-point coordinate parameters.

[0048] Based on the aforementioned measured statistical characteristics, a functional model describing the amplitude and phase taper distribution in the quiet zone is constructed, including an amplitude taper parabolic function model and a phase taper parabolic function model. The parabolic parameters of the amplitude taper parabolic function are determined based on the measured maximum amplitude taper value and the coordinates of the amplitude taper zero point; the parabolic parameters of the phase taper parabolic function are determined based on the measured maximum phase taper value and the coordinates of the phase taper zero point. By calculating the parabolic function coefficients for the maximum amplitude taper value and the maximum phase taper value in the taper matrix, and combining this with the element positions of the antenna array under test, the amplitude attenuation value and phase offset value corresponding to each element are obtained, generating the element taper value.

[0049] Based on the constructed tapered distribution function model, the amplitude weights and phase weights of the antenna array elements of the mobile communication base station under test are corrected. The correction formula is as follows: ; ; By using a double loop to traverse all preset combinations, and based on the corrected amplitude weight and phase weight, the corrected array factor and total radiation pattern of the antenna under test are calculated, thereby obtaining the corrected antenna radiation characteristic parameters (in this embodiment, gain is the core parameter).

[0050] Next, the test results are obtained, and the test results are corrected and analyzed.

[0051] In the compact test field, the raw gain data measured at each preset frequency point for the two polarization ports of the mobile communication base station antenna under test are shown in the table below: +45° polarization port: 7.14dB at 2.0GHz, 7.9dB at 2.1GHz, 7.95dB at 2.2GHz, 8.64dB at 2.3GHz, 6.42dB at 2.4GHz, 8.27dB at 2.5GHz, and 6.51dB at 2.6GHz; -45° polarization port: 6.75dB at 2.0GHz, 7.74dB at 2.1GHz, 8.07dB at 2.2GHz, 8.56dB at 2.3GHz, 5.98dB at 2.4GHz, and 8.42dB at 2.5GHz. The value was 6.18 dB.

[0052] By using the method provided by this invention, the original measurement data is corrected based on the constructed tapered distribution function model, resulting in corrected gain values ​​for each frequency point that are closer to the true values. Due to the unavoidable amplitude and phase tapering in the quiet region of the compressed field, the original measurement results are affected by the quiet region distortion, leading to deviations from the antenna's true radiation characteristics.

[0053] The method of this invention constructs a tapered distribution model that closely matches the actual test scenario, accurately corrects the amplitude and phase weights of the antenna array elements, and effectively offsets the measurement errors caused by the amplitude and phase tapering in the quiet zone through the reconstruction of the array factor and the overall radiation pattern. Therefore, by combining the original measured values ​​of the compressed field with the corrected values ​​obtained based on this method, the obtained antenna gain parameters are closer to its true radiation characteristics, significantly improving the accuracy and reliability of the compressed field measurement of antenna radiation characteristics.

[0054] This invention also provides an antenna radiation performance simulation and analysis platform system, such as... Figure 2 As shown, the system includes: The measured statistical feature data acquisition unit 11 is used to acquire the measured statistical features of the scattering data of a standard antenna based on a predetermined location point in a compact field quiet zone. The tapering distribution model construction unit 12 is used to construct a function model describing the tapering distribution based on the measured statistical characteristics. The function model describes the relationship between the amplitude tapering and phase tapering of the quiet zone and the spatial location. The weight correction unit 13 is used to correct the amplitude weight and phase weight of the antenna array element under test based on the function model. Antenna feature generation unit 14 is used to calculate the corrected array factor and total radiation pattern based on the amplitude weight and phase weight; The radiation characteristic parameter difference quantization unit 15 is used to determine the radiation characteristic parameter difference of the antenna under test based on the corrected array factor and the overall radiation pattern.

[0055] This antenna radiation performance simulation and analysis platform system is entirely based on numerical simulation methods, offering fast computation speeds without the need for expensive hardware investment or lengthy site measurements. Its parameterized model allows for flexible adaptation to various array antennas and quiet zone distortion assumptions, resulting in a wide range of applications. In the early stages of compact field construction, this simulation method can be used to pre-assess measurement errors under different tolerance levels, thereby finding the optimal balance between cost and performance and establishing scientific tolerance standards. This avoids the enormous time and economic costs associated with traditional "over-design" or "repeated modifications." The simulation platform is based on numerical simulation methods, requiring no specialized full-wave simulation software, and supports flexible replacement of array types and element models to adapt to different antennas under test and compact field scenarios.

[0056] The present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the aforementioned method for quantifying the effect of static zone amplitude-phase taper on antenna radiation characteristic parameters.

[0057] Figure 3 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 3 As shown, the electronic device may include a processor 310, a communications interface 320, a memory 330, and a communication bus 340. The processor 310, communications interface 320, and memory 330 communicate with each other via the communication bus 340. The processor 310 can call logic instructions from the memory 330 to execute the previously described method for quantifying the influence of the static zone amplitude-phase taper on antenna radiation characteristic parameters.

[0058] Furthermore, the logical instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0059] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0060] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments. Therefore, the present invention provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method described above for quantifying the influence of static zone amplitude-phase taper on antenna radiation characteristic parameters.

[0061] The method for quantifying the impact of static zone amplitude-phase taper on antenna radiation characteristic parameters provided by this invention uses a real physical scenario to support the taper model. It can accurately quantify the functional relationship between static zone amplitude-phase taper and the distortion of the antenna's radiation characteristic parameters, enabling a shift from qualitative to quantitative assessment of measurement uncertainty in compact fields, significantly improving the reliability and accuracy of antenna measurement data. This method enables the implementation of an antenna radiation performance simulation and analysis platform system based entirely on numerical simulation methods. It boasts high computational speed, requires no expensive hardware investment or lengthy site measurements, and can flexibly adapt to various array antennas and static zone distortion assumptions, thus having a wide range of applications.

[0062] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method of quantifying the effect of quiet zone amplitude and phase taper on antenna radiation characteristic parameters, characterized by, The method comprises: measuring scattering data of a standard antenna based on a predetermined position point of a compact field quiet zone to obtain measured statistical characteristics; constructing a function model describing taper distribution based on the measured statistical characteristics, the function model describing the relationship between amplitude taper and phase taper of the quiet zone and spatial position; correcting amplitude weight and phase weight of an antenna array unit to be measured based on the function model; calculating corrected array factor and total directional diagram according to the amplitude weight and the phase weight; determining the difference of the radiation characteristic parameters of the antenna to be measured according to the corrected array factor and the total directional diagram.

2. The method of quantifying the effects of amplitude taper and phase taper on antenna radiation characteristics parameters as claimed in claim 1 further characterized by, The function model comprises an amplitude taper parabolic function model and a phase taper parabolic function model, parabolic parameters of the amplitude taper parabolic function model being determined according to amplitude taper maximum value and zero point coordinate parameters of amplitude taper, and parabolic parameters of the phase taper parabolic function model being determined according to phase taper maximum value and zero point coordinate parameters of phase taper.

3. The method of quantifying the effects of amplitude taper and phase taper on antenna radiation characteristics parameters as claimed in claim 1 further characterized by, Based on the measured statistical characteristics, a function model describing the tapering distribution is constructed, including: for each amplitude tapering maximum m tm and phase tapering maximum p tm in the tapering matrix, the respective parabolic function coefficients are calculated; and according to each of the parabolic function coefficients and the position of the array element, the amplitude attenuation value and the phase shift value of each array element are calculated to generate the array element tapering value.

4. The method of quantifying the effects of amplitude taper and phase taper on antenna radiation characteristics parameters as claimed in claim 1 further characterized by, The function model comprises an amplitude taper parabolic function model and a phase taper parabolic function model, parabolic parameters of the amplitude taper parabolic function model being determined according to amplitude taper maximum value and zero point coordinate parameters of amplitude taper, and parabolic parameters of the phase taper parabolic function model being determined according to phase taper maximum value and zero point coordinate parameters of phase taper. ； ； wherein is the modified amplitude weight, is the modified phase weight, is the amplitude weight of the standard antenna, j is the imaginary unit, , are the amplitude cut and the phase cut, respectively, corresponding to a certain spatial position calculated based on the function model.

5. The method of quantifying the effects of amplitude taper and phase taper on antenna radiation characteristics parameters as claimed in claim 3 further characterized by, The calculating the corrected array factor and the total directional diagram according to the amplitude weight and the phase weight comprises: traversing all preset m tm and p tm Combination, based on the actual tapered weight, the actual array factor and the actual total directional diagram are calculated.

6. The method of quantifying the effects of amplitude taper on antenna radiation characteristics parameters according to claim 3, further characterized by, The method further comprises: storing the difference of the radiation characteristic parameters into a result matrix; and displaying the function relationship between the difference of the radiation characteristic parameters and m tm and p tm by a three-dimensional surface graph.

7. The method of quantifying the effects of amplitude taper and phase taper on antenna radiation characteristics parameters as claimed in claim 3 further characterized by, The method further comprises: fitting a function expression of the difference of the radiation characteristic parameters and m tm and p tm by using a least square method.

8. An antenna radiation performance simulation analysis platform system, characterized in that, The system comprises: a measured statistical characteristic data acquisition unit configured to acquire measured statistical characteristics of scattering data of a standard antenna based on a predetermined position point of a compact field quiet zone; a taper distribution model construction unit configured to construct a function model describing taper distribution based on the measured statistical characteristics, the function model describing the relationship between amplitude taper and phase taper of the quiet zone and spatial position; a weight correction unit configured to correct amplitude weight and phase weight of an antenna array unit to be measured based on the function model; an antenna characteristic generation unit configured to calculate corrected array factor and total directional diagram according to the amplitude weight and the phase weight; a radiation characteristic parameter difference quantification unit configured to determine the difference of the radiation characteristic parameters of the antenna to be measured according to the corrected array factor and the total directional diagram.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the method for quantifying the influence of quiet zone amplitude and phase taper on antenna radiation characteristic parameters according to any one of claims 1 to 7 when executing the program.

10. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program implements the method for quantifying the influence of quiet zone amplitude and phase taper on antenna radiation characteristic parameters according to any one of claims 1 to 7 when executed by the processor.

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