Error estimation method, device and storage medium for planar near-field measurement device

Abstract

The present application provides an error estimation method, device and storage medium for a planar near-field measurement device, which relates to the field of antenna measurement technology, including determining at least one standard antenna for evaluating the antenna to be measured from a preset antenna list; determining the first mechanical error parameter and the second mechanical error parameter respectively according to the second tolerance error and the third tolerance error closest to the first tolerance error of the antenna to be measured in the sample data of the standard antenna, so as to determine the third mechanical error parameter; calculating the fourth tolerance error corresponding to the third mechanical error parameter according to the antenna sampling data of the sample data; repeating the selection of the third mechanical error parameter and the calculation of the fourth tolerance error until the difference between the fourth tolerance error and the first tolerance error meets the preset conditions; determining the installation reference parameters of the planar near-field measurement device according to the final third mechanical error parameter. The device and storage medium use this method to quickly determine the installation reference parameters to build a test environment.

Description

Technical Field

[0001] The present application relates to the field of antenna measurement technology, and in particular to an error estimation method, device and storage medium for a planar near-field measurement device. Background Art

[0002] Planar near-field measurement uses a small electrically powered antenna or probe with known characteristics to collect the amplitude and phase distribution of the antenna to be measured on a plane at a certain distance from the antenna to be measured, and then obtains the far-field radiation performance through theoretical calculation. In the actual measurement process, the amplitude and phase distribution of the antenna to be measured is affected by the probe installation error of the measurement device, mechanical errors such as the stepper motor, etc., resulting in unreliable far-field radiation performance data of the collected amplitude and phase distribution. In addition, due to the difference in tolerance errors of different antenna types, the probe installation error and stepper motor error of the same planar near-field measurement device must be predicted for different antennas before measurement can be performed. However, it is difficult for engineers to perform real-time error assessment of the probe installation error and stepper motor error. Summary of the invention

[0003] The present application aims to solve at least one of the technical problems existing in the related art. To this end, an error estimation method, device and storage medium of a planar near-field measurement device are proposed, which can reduce the difficulty of estimating the mechanical error of the measurement device.

[0004] According to the first aspect of the present application, an error estimation method for a planar near-field measurement device includes:

[0005] Determine at least one standard antenna from a preset antenna list according to the antenna data of the antenna to be tested; wherein the gain and frequency band of the standard antenna are closest to the gain and frequency band in the antenna data;

[0006] Determine, according to the second tolerance error and the third tolerance error in the sample data of the standard antenna which are closest to the first tolerance error of the antenna data, a first mechanical error parameter corresponding to the second tolerance error and a second mechanical error parameter corresponding to the third tolerance error, respectively, wherein the first tolerance error is between the second tolerance error and the third tolerance error;

[0007] Processing the corresponding first mechanical error parameter and the second mechanical error parameter according to a preset selection algorithm to determine a third mechanical error parameter;

[0008] Calculating a fourth tolerance error corresponding to the corresponding third mechanical error parameter according to the antenna sampling data in the sample data;

[0009] When the difference between the fourth tolerance error and the first tolerance error does not meet the preset condition, re-determine the third mechanical error parameter and re-calculate the fourth tolerance error until the re-calculated difference between the fourth tolerance error and the first tolerance error meets the preset condition;

[0010] When the preset condition is met, the installation reference parameter of the planar near-field measurement device is determined according to the third mechanical error parameter corresponding to the corresponding fourth tolerance error.

[0011] According to an electronic device of an embodiment of the second aspect of the present application, the electronic device includes:

[0012] At least one processor, and a memory communicatively connected to the at least one processor; wherein the memory stores instructions, and the instructions are executed by the at least one processor so that when the at least one processor executes the instructions, the error estimation method for a planar near-field measurement device as described in any one of the first aspects is implemented.

[0013] A computer storage medium according to an embodiment of the third aspect of the present application includes computer executable instructions stored therein, wherein the computer executable instructions are used to execute the error estimation method for a planar near-field measurement device as described in any one of the first aspects.

[0014] According to the above-mentioned embodiments of the present application, at least the following beneficial effects are achieved: by determining a standard antenna whose frequency band and gain are closest to the specification parameters of the antenna to be tested, the tolerance error corresponding to different mechanical error parameters can be calculated through the antenna sampling data in the sample data of the standard antenna, thereby determining the third mechanical error that meets the preset conditions. At this time, engineers can use the third mechanical error as an installation reference parameter to build a test environment, thereby reducing the difficulty of estimating the mechanical error of the measuring device.

[0015] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0017] Figure 1 It is a principle block diagram of a planar near-field test system in the prior art;

[0018] Figure 2 is a schematic flow chart of an error estimation method for a planar near-field measurement device according to an embodiment of the present application;

[0019] Figure 3 It is a schematic diagram of the process of determining the antenna to be measured in the error estimation method of the planar near-field measurement device in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application.

[0021] In the description of this application, if there is a description of first or second, it is only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0022] Planar near-field measurement uses a small electrically powered antenna or probe with known characteristics to collect the amplitude and phase distribution of the antenna to be measured on a plane at a certain distance from the antenna to be measured, and then obtains the far-field radiation performance through theoretical calculation. In the actual measurement process, the amplitude and phase distribution of the antenna to be measured is affected by the probe installation error of the measurement device, mechanical errors such as the stepper motor, etc., resulting in unreliable far-field radiation performance data of the collected amplitude and phase distribution. In addition, due to the difference in tolerance of different antenna types, the probe installation error and stepper motor error of the same planar near-field measurement device must be predicted before measurement can be performed. However, it is difficult for engineers to perform real-time error assessment of the probe installation error and stepper motor error.

[0023] For example, refer to Figure 1 As shown, during planar near-field measurement, the probe on the sampling rack is driven by a motor to move to collect antenna data for the antenna to be tested, so that the antenna performance data of the far field is calculated based on the collected antenna data. When the angle deviation of the probe on the sampling rack is too large when it is installed, the error of the collected antenna data will be much larger than the tolerance error range of the antenna to be tested, which will cause the collected antenna data to be unreliable. At the same time, the probe needs to be driven by a motor to the collection point during the collection process, and the motor drive has a deviation in the moving position of the probe due to the difference in accuracy. As the number of collection points increases, the error will also accumulate accordingly, further reducing the reliability of the collected antenna data, and there is a possibility of exceeding the tolerance error of the antenna to be tested. Therefore, before measurement, engineers need to eliminate the influence of mechanical errors such as probes and motors on the antenna performance data of the far field of the antenna to be tested. In the prior art, this mechanical error is difficult to predict, so engineers usually use high-precision measurement devices, which will lead to an increase in measurement costs.

[0024] The error estimation method, device and storage medium of the planar near-field measurement device of the present application are further described below with reference to the accompanying drawings.

[0025] Reference Figure 2 As shown, an embodiment of the present application provides an error estimation method for a planar near-field measurement device, the method comprising:

[0026] Step S100: Determine at least one standard antenna from a preset antenna list according to antenna data of the antenna to be tested; wherein the gain and frequency band of the standard antenna are closest to the gain and frequency band in the antenna data.

[0027] It should be noted that when only one antenna needs to be measured, the antenna to be tested is the one to be tested. When multiple antennas of different types need to be measured in the same test fixture, and each type has multiple tolerance error ranges, the antenna to be tested can be each antenna, or a representative antenna of each antenna type, or the antenna with the highest tolerance error accuracy requirement among all antennas. When inputting, the user inputs all antennas to be tested in the planar near-field measurement device.

[0028] Step S200, based on the second tolerance error and the third tolerance error in the sample data of the standard antenna that is closest to the first tolerance error of the antenna data, determine the first mechanical error parameter corresponding to the second tolerance error and the second mechanical error parameter corresponding to the third tolerance error, respectively, wherein the first tolerance error is between the second tolerance error and the third tolerance error.

[0029] It should be noted that the relevant information of the antenna list is set in the configuration file. When the configuration file is imported into the device for estimating the error of the planar near-field measurement device, the device will load the sample data of all standard antennas in the configuration file. The sample data includes specification parameters (such as tolerance error, gain, frequency band, etc.), near-field antenna sampling data, several specific tolerance errors and corresponding mechanical error parameters under the tolerance errors.

[0030] It should be noted that for antennas with similar frequency bands, when their gain differences are not large, their tolerance errors are also similar. Therefore, the mechanical error estimated by the tolerance error of the standard antenna can be used as the installation reference parameter of the planar near-field measurement device.

[0031] Step S300: Process the corresponding first mechanical error parameter and second mechanical error parameter according to a preset selection algorithm to determine a third mechanical error parameter.

[0032] It should be noted that, since the first tolerance error value is between the second tolerance error and the third tolerance error, the mechanical error parameter corresponding to the first tolerance error must be between the first mechanical error parameter and the corresponding second mechanical error parameter. The selection algorithm is used to select the third mechanical error parameter that is consistent with the expected first tolerance error by stepwise approximation between the first mechanical error parameter and the corresponding second mechanical error parameter.

[0033] Step S400: Calculate a fourth tolerance error corresponding to a corresponding third mechanical error parameter according to the antenna sampling data in the sample data.

[0034] It should be noted that the antenna sampling data is the data obtained by near-field measurement of a standard antenna without error. The third mechanical error parameter will affect the position of each sampling point in the antenna sampling data. Therefore, after the sampling point position is corrected by the third mechanical error parameter, the far-field pattern of the antenna, i.e., the far-field antenna performance data, can be calculated by the planar near-field to far-field conversion algorithm. Since the planar to far-field conversion algorithm is an existing technology, it will not be described in detail here.

[0035] Step S500: when the difference between the fourth tolerance error and the first tolerance error does not meet the preset condition, the third mechanical error parameter is re-determined and the fourth tolerance error is re-calculated until the difference between the re-calculated fourth tolerance error and the first tolerance error meets the preset condition.

[0036] It should be noted that redetermining the third mechanical error parameter means replacing the first mechanical error or the second calculation error in the current calculation with the current third mechanical error parameter, and reselecting the third mechanical error parameter that is closest to the first tolerance error by a step-by-step approximation between the two replaced tolerance errors through a selection algorithm.

[0037] Exemplarily, taking the probe offset angle in the mechanical error parameter as an example, the probe offset angle of the first mechanical error is 20 degrees, and the probe offset angle of the second mechanical error is 30 degrees. At this time, the probe offset angle of the third mechanical error determined by the algorithm is selected as 25 degrees. When the fourth tolerance error corresponding to the 25-degree probe offset angle is greater than the first tolerance error, the second mechanical error is updated with the 25-degree probe offset angle. At this time, the third mechanical error can be re-selected based on the first mechanical error (probe offset angle 20 degrees) and the updated second mechanical error (probe offset angle 25 degrees). Similarly, when the fourth tolerance error corresponding to the 25-degree probe offset angle is less than the first tolerance error, the first mechanical error is updated with the 25-degree probe offset angle. At this time, the third mechanical error located between the first mechanical error (probe offset angle 25 degrees) and the second mechanical error (probe offset angle 30 degrees) can be re-selected based on the updated first mechanical error (probe offset angle 25 degrees) and the second mechanical error (probe offset angle 30 degrees). That is, the third mechanical error close to the first tolerance error is selected within a certain range by a stepwise approach.

[0038] Step S600: When a preset condition is met, determining installation reference parameters of the planar near-field measurement device according to a third mechanical error parameter corresponding to a corresponding fourth tolerance error.

[0039] It should be noted that the third mechanical error parameter is an estimate of a maximum value. When installing the actual planar near-field measurement device, it is sufficient to ensure that the components causing the error are within the range set by the third mechanical error parameter. Figure 1 In the embodiment shown, in the planar near-field measurement system, the probe and the motor of the planar near-field measurement device will affect the reliability of the near-field data acquisition. At this time, the maximum angle that the probe can be deflected and the maximum step error of the motor (that is, the model of the motor is determined) can be determined by the third mechanical error parameter, so as to ensure that the corresponding values ​​are not exceeded during installation to collect data.

[0040] Therefore, by determining the standard antenna whose frequency band and gain are closest to the specification parameters of the antenna to be tested, the corresponding tolerance error under different mechanical error parameters can be calculated through the antenna sampling data in the sample data, thereby determining the third mechanical error that meets the preset conditions. At this time, engineers can use the third mechanical error as an installation reference parameter to build a test environment, thereby reducing the difficulty of estimating the mechanical error of the measuring device.

[0041] It can be understood that step S100, determining at least one standard antenna from a preset antenna list based on the antenna data of the antenna to be tested, includes: selecting multiple standard antennas with the closest frequency bands from the preset antenna list based on the frequency band in the antenna data of the antenna to be tested; and selecting at least one standard antenna with the closest gain from multiple standard antennas with the closest frequency bands based on the gain in the antenna data.

[0042] For example, in the antenna list there are standard antennas A, B, C, and D, and their corresponding frequency bands are Freq A 、Freq B 、Freq C 、Freq D ; The corresponding gains are Gain A 、Gain B 、Gain C 、Gain D ; When Freq A 、Freq B 、Freq C 、Freq D The difference between the frequency band of the antenna to be tested is sorted from small to large as Freq A 、Freq B 、Freq D 、FreqC ; When the setting selects at least three closest standard antennas, Freq A 、Freq B 、Freq D Satisfy the requirements. At this time, Gain A 、Gain B 、Gain D The differences between the gains of the antennas to be tested are sorted from small to large as Gain D 、Gain B 、Gain A When the two antennas with the smallest gain are set, standard antenna D and standard antenna B are determined as the final standard antennas.

[0043] It can be understood that the first mechanical error parameter and the second mechanical error parameter both include a probe offset angle and a motor error. Step S300, according to a preset selection algorithm, processes the corresponding first mechanical error parameter and the second mechanical error parameter to determine the third mechanical error parameter, including: averaging the probe offset angle of the first mechanical error parameter and the probe offset angle of the second mechanical error parameter to obtain the corresponding probe offset angle mean; combining the motor error and the probe offset angle mean to obtain the third mechanical error parameter.

[0044] It should be noted that, for the motor, the error can be determined after its model is determined, so in the actual calculation process, a motor model is preset, and then the probe offset angle is calculated through a preset selection algorithm. In some embodiments, the motor model can also be determined by the user. For the probe offset angle, the dichotomy principle is used to gradually approximate and then determine the selected range, so as to quickly determine the third mechanical error parameter.

[0045] It should be noted that when the motor error is not considered, the motor error can be set to zero, so that the impact of the motor error can be ignored in subsequent calculations.

[0046] It can be understood that step S400, calculating the fourth tolerance error corresponding to the corresponding third mechanical error parameter based on the antenna sampling data in the sample data, includes: solving to obtain the first far-field antenna performance data based on the third mechanical error parameter and the antenna sampling data; solving to obtain the second far-field antenna performance data based on the antenna sampling data; comparing the first far-field antenna performance data and the second far-field antenna performance data to obtain the fourth tolerance error corresponding to the third mechanical error parameter.

[0047] It should be noted that, taking the calculation of the probe offset angle in the first mechanical error parameter as an example, in some embodiments, for each sampling point (x, y) in the antenna sampling data, (x_p, y_p) is set, where, in, θ represents the angle of the corresponding polarization direction of the standard antenna. θ1, then in the probe correction equation, the probe's directional pattern function is rotated by the corresponding angle, that is, the rows and columns of the matrix storing the directional pattern function's independent variables are translated where Δθ, The minimum resolution set by the algorithm. At the same time, the scanned coordinate point is translated in the x direction by Lcosθ1 That is, the probe installation angle error Translate the y direction by Lcosθ1 That is, the probe installation angle error Where L is the length of the probe. At this time, the x coordinate in the antenna sampling data is updated to x+x_p', and the y coordinate of the set antenna sampling data is updated to y+y_p', and interpolation calculation is performed based on the updated x coordinate and y coordinate to generate a grid, and then the far-field antenna performance data is solved through the grid data.

[0048] It should be noted that when the first mechanical error parameter and the second mechanical error parameter include multiple types of error parameters, such as probe offset angle and motor error, the corresponding far-field antenna performance data can be calculated for each error parameter. At this time, the first far-field antenna performance data can be calculated based on the far-field antenna performance data corresponding to multiple error parameters.

[0049] It is understandable that, according to the third mechanical error parameter and the antenna sampling data, the first far-field antenna performance data is obtained by solving, including: according to the third mechanical error parameter and the antenna sampling data, the first far-field antenna performance data is obtained by combining the vectorization operation. Correspondingly, according to the antenna sampling data, the second far-field antenna performance data is obtained by solving, including: according to the antenna sampling data, the second far-field antenna performance data is obtained by combining the vectorization operation.

[0050] It should be noted that vectorized computing is a special type of parallel computing that can perform multiple operations at the same time, usually executing the same instruction or a batch of instructions on different data, or applying instructions to an array / vector. In the near-far field conversion algorithm, there are a lot of things that need to be processed by the computer through for loops, such as fast Fourier transform of updated antenna sampling data. At this time, vectorized computing is used to form vectors of different values ​​of the same calculation rules for calculation, thereby improving the efficiency of the near-far field conversion algorithm.

[0051] It can be understood that the first far-field antenna performance data is obtained by solving the third mechanical error parameter and the antenna sampling data, including: generating a probe error matrix corresponding to the probe offset angle in the third mechanical error parameter; performing a first error processing on the antenna sampling data through the probe error matrix, and calculating the third far-field antenna performance data based on the antenna sampling data after the first error processing; generating a motor error matrix corresponding to the motor error in the third mechanical error parameter; performing a second error processing on the antenna sampling data through the motor error matrix, and calculating the fourth far-field antenna performance data based on the antenna sampling data after the second error processing; obtaining the weight of the probe offset angle and the weight of the motor error; multiplying the third far-field antenna performance data and the fourth far-field antenna performance data with the corresponding weights and summing them to obtain the first far-field antenna performance data.

[0052] It should be noted that by calculating the far-field performance data for a single error type and determining the final first far-field antenna performance data according to the weight of the error type, the reliability of the first far-field antenna performance data evaluation can be improved. Storing in a matrix format can improve its efficiency in a computer. In some embodiments, operations between matrices can be calculated using vectorized operations.

[0053] Exemplarily, the third mechanical error parameter includes the probe offset angle and the motor error. At this time, for the probe offset angle, the probe installation angle error can be determined by referring to the first mechanical error parameter. Probe installation angle error Thus, the antenna sampling data is updated. Similarly, for the motor error, assuming that there is an error ε1 in each step of the stepper motor (this value is determined by the model of the stepper motor), and the scanning method of the probe is M rows and N columns, then the motor error data is stored in an M row and N column matrix. When the entire plane is scanned, the total cumulative error of the stepper motor is Where d1 is the length of each step of the stepper motor, and the x range of the scanning surface is [-x m ,x m ]. Then the M-row and N-column matrix corresponding to the cumulative error of the stepper motor corresponding to each scanning point is expressed as follows:

[0054]

[0055] At this time, the above matrix can be solved to obtain that the x coordinate of the i-th sampling point is updated to The y coordinate is updated to

[0056] It should be noted that the weight of the probe offset angle and the weight of the motor error can be dynamically set by the engineer in the configuration file, and the engineer can also adjust the value in real time.

[0057] It is understandable that there are multiple standard antennas. Step S600, when the preset conditions are met, determines the installation reference parameters of the planar near-field measurement device according to the third mechanical error parameters corresponding to the corresponding fourth tolerance error, including: when the preset conditions are met, weighted processing is performed on the third mechanical error parameters corresponding to the fourth tolerance errors corresponding to multiple standard antennas to obtain the installation reference parameters of the planar near-field measurement device.

[0058] Exemplarily, assuming that the standard antennas used to evaluate the antenna to be tested are A, B, and C, where the third mechanical error corresponding to A is A', the third mechanical error corresponding to B is B', and the third mechanical error corresponding to C is C', then A'×W1+B'×W2+C'×W3 are the installation reference parameters, where W1, W2, and W3 are the weight values ​​corresponding to the third mechanical errors of A, B, and C, respectively.

[0059] It is understandable that if Figure 3 As shown, before step S100, the method further includes obtaining an antenna to be tested, and the antenna to be tested is obtained by the following steps:

[0060] Step S700: Obtain the antenna type and the first tolerance error of each antenna in the antenna set input by the user.

[0061] Step S800: Select the antenna with the smallest first tolerance error in each antenna type as the representative antenna of the antenna type.

[0062] Step S900: Use representative antennas corresponding to each antenna type as antennas to be tested.

[0063] Exemplarily, assuming that the antenna set input by the user includes four antennas of the same type, namely E, F, G, and H, among which the first tolerance error value of H is the smallest, it means that the accuracy requirement of H is the highest. At this time, the H antenna can be used as the antenna to be tested. At this time, the installation reference parameters of the antenna H can be determined through steps S100 to S600. When the user installs the near-field measurement device according to the installation reference parameters, the results of measuring the antennas E, F, G, and H by the same device all meet the requirements.

[0064] Therefore, by finding representative antennas of the same type, the evaluation process of the installation reference parameters can be shortened, the process of human judgment can be reduced, and the convenience of measurement can be improved.

[0065] On the other hand, the present application also provides a device, comprising:

[0066] At least one processor, and a memory in communication with the at least one processor; wherein the memory stores instructions, and the instructions are executed by the at least one processor, so that the at least one processor implements an error estimation method for a planar near-field measurement device when executing the instructions;

[0067] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0068] On the other hand, the present application also provides a storage medium, comprising computer executable instructions stored therein, where the computer executable instructions are used to execute an error estimation method for a planar near-field measurement device.

[0069] It will be appreciated by those skilled in the art that all or some of the steps and systems in the disclosed method above may be implemented as software, firmware, hardware and appropriate combinations thereof. Some physical components or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that may be used to store desired information and may be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0070] Although the embodiments of the present application have been shown and described, those skilled in the art will appreciate that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present application, and that the scope of the present application is defined by the claims and their equivalents.

[0071] The embodiments of the present application are described in detail above in conjunction with the accompanying drawings, but the present application is not limited to the above embodiments, and various changes can be made within the knowledge scope of ordinary technicians in the technical field without departing from the purpose of the present application.

Claims

1. A method for estimating an error of a planar near-field measurement device, characterized in that: The method comprises: Determine at least one standard antenna from a preset antenna list according to the antenna data of the antenna to be tested; wherein the gain and frequency band of the standard antenna are closest to the gain and frequency band in the antenna data; Determine, according to the second tolerance error and the third tolerance error in the sample data of the standard antenna which are closest to the first tolerance error of the antenna data, a first mechanical error parameter corresponding to the second tolerance error and a second mechanical error parameter corresponding to the third tolerance error, respectively, wherein the first tolerance error is between the second tolerance error and the third tolerance error; Processing the corresponding first mechanical error parameter and the second mechanical error parameter according to a preset selection algorithm to determine a third mechanical error parameter; Calculating a fourth tolerance error corresponding to the corresponding third mechanical error parameter according to the antenna sampling data in the sample data; When the difference between the fourth tolerance error and the first tolerance error does not meet the preset condition, re-determine the third mechanical error parameter and re-calculate the fourth tolerance error until the re-calculated difference between the fourth tolerance error and the first tolerance error meets the preset condition; When the preset condition is met, the installation reference parameter of the planar near-field measurement device is determined according to the third mechanical error parameter corresponding to the corresponding fourth tolerance error.

2. The error estimation method of the planar near-field measurement device according to claim 1, characterized in that: The step of determining at least one standard antenna from a preset antenna list according to the antenna data of the antenna to be tested comprises: According to the frequency band in the antenna data of the antenna to be tested, selecting a plurality of standard antennas with the closest frequency bands from a preset antenna list; According to the gain in the antenna data, at least one standard antenna with the closest gain is selected from the standard antennas with the closest frequency bands.

3. The error estimation method of a planar near-field measurement device according to claim 1, characterized in that: The first mechanical error parameter and the second mechanical error parameter both include a probe offset angle and a motor error, and the processing of the corresponding first mechanical error parameter and the second mechanical error parameter according to a preset selection algorithm to determine a third mechanical error parameter includes: averaging the probe offset angle of the first mechanical error parameter and the probe offset angle of the second mechanical error parameter to obtain a corresponding probe offset angle average; The motor error and the probe offset angle mean are combined to obtain the third mechanical error parameter.

4. The error estimation method of a planar near-field measurement device according to claim 1, characterized in that: The calculating, according to the antenna sampling data in the sample data, a fourth tolerance error corresponding to the corresponding third mechanical error parameter comprises: Obtaining first far-field antenna performance data by solving the third mechanical error parameter and the antenna sampling data; Solving and obtaining second far-field antenna performance data according to the antenna sampling data; The first far-field antenna performance data and the second far-field antenna performance data are compared to obtain a fourth tolerance error corresponding to the third mechanical error parameter.

5. The error estimation method of a planar near-field measurement device according to claim 4, characterized in that: The step of obtaining first far-field antenna performance data according to the third mechanical error parameter and the antenna sampling data includes: According to the third mechanical error parameter and the antenna sampling data, the first far-field antenna performance data is obtained by combining the vectorization operation; Correspondingly, solving and obtaining second far-field antenna performance data according to the antenna sampling data includes: The second far-field antenna performance data is obtained by solving the antenna sampling data in combination with vectorized operation.

6. The error estimation method for a planar near-field measurement device according to claim 4, characterized in that: The step of obtaining first far-field antenna performance data according to the third mechanical error parameter and the antenna sampling data includes: Generate a probe error matrix corresponding to the probe offset angle in the third mechanical error parameter; Performing a first error processing on the antenna sampling data through the probe error matrix, and calculating and obtaining third far-field antenna performance data according to the antenna sampling data after the first error processing; Generate a motor error matrix corresponding to the motor error in the third mechanical error parameter; Performing a second error processing on the antenna sampling data through the motor error matrix, and calculating fourth far-field antenna performance data according to the antenna sampling data after the second error processing; Obtaining a weight of the probe offset angle and a weight of the motor error; The third far-field antenna performance data and the fourth far-field antenna performance data are respectively multiplied by the corresponding weights and summed to obtain the first far-field antenna performance data.

7. The error estimation method of a planar near-field measurement device according to claim 1, characterized in that: The standard antenna is provided with a plurality of antennas, and when the preset condition is met, the installation reference parameter of the planar near-field measurement device is determined according to the third mechanical error parameter corresponding to the corresponding fourth tolerance error, including: When the preset condition is met, the third mechanical error parameters corresponding to the fourth tolerance errors corresponding to the plurality of standard antennas are weighted to obtain installation reference parameters of the planar near-field measurement device.

8. The error estimation method for a planar near-field measurement device according to claim 1, characterized in that: The antenna to be tested is obtained by the following steps: Acquire the antenna type and the first tolerance error of each antenna in the antenna set input by the user; Selecting an antenna with the smallest first tolerance error in each antenna type as a representative antenna of the antenna type; The representative antenna corresponding to each antenna type is used as the antenna to be tested.

9. An electronic device, characterized in that: include: At least one processor, and a memory communicatively connected to the at least one processor; wherein the memory stores instructions, and the instructions are executed by the at least one processor, so that when the at least one processor executes the instructions, the error estimation method of the planar near-field measurement device according to any one of claims 1 to 8 is implemented.

10. A computer storage medium, characterized in that: The device comprises computer executable instructions stored therein, wherein the computer executable instructions are used to execute the error estimation method for the planar near-field measurement device according to any one of claims 1 to 8.

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