Testing method and device of phased-array antenna, electronic equipment and storage medium

Abstract

The invention provides a phased-array antenna testing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a plurality of target measurement results of a target phased-array antenna, wherein the plurality of target measurement results at least comprise a transmitting performance index and a receiving performance index; determining a plurality of first identifiers corresponding to the plurality of target measurement results; and inputting the plurality of first identifiers and the plurality of target measurement results into a fusion model to obtain a target fusion result of the target phased-array antenna, the fusion model being used for performing fusion processing on the plurality of target measurement results according to the relevance of the plurality of target measurement results, the target fusion result represents the performance of the target phased-array antenna from multiple dimensions. According to the scheme, the target fusion result obtained by fusing the measurement results of the multiple indexes through the fusion model can reflect the relevance among the multiple measurement results, so that the test accuracy is improved.

Description

Technical Field

[0001] This application relates to the field of antenna technology, and in particular to a test method, apparatus, electronic device and storage medium for a phased array antenna. Background Technology

[0002] Phased array antennas are an advanced antenna technology. A phased array antenna consists of multiple array elements, each of which is a small antenna unit. Multiple array elements work together, and compared with traditional antennas, the direction of the beam can be changed quickly without physically moving the antenna.

[0003] Because phased array antennas have a complex structure with multiple array elements, higher requirements are placed on the testing standards for phased array antennas to ensure their reliability. In related technologies, phased array antennas are tested using individual indicators to obtain measurement results, which reflect the performance of the phased array antenna.

[0004] However, the measurement results obtained by testing phased array antennas using single indicators are inaccurate, which affects the performance evaluation of phased array antennas. Summary of the Invention

[0005] This application provides a testing method, apparatus, electronic device, and storage medium for phased array antennas, in order to improve the testing accuracy of phased array antennas.

[0006] In a first aspect, embodiments of this application provide a testing method for a phased array antenna, comprising: acquiring multiple target measurement results of a target phased array antenna, the multiple target measurement results including at least transmission performance indicators and reception performance indicators; determining multiple first identifiers corresponding to the multiple target measurement results; inputting the multiple first identifiers and the multiple target measurement results into a fusion model to obtain a target fusion result of the target phased array antenna, the fusion model being used to perform fusion processing on the multiple target measurement results according to the correlation of the multiple target measurement results, the target fusion result characterizing the performance of the target phased array antenna from multiple dimensions.

[0007] In one possible implementation, acquiring multiple target measurement results of a target phased array antenna includes: receiving a test request, the test request including the operating parameters of the target phased array antenna, the operating parameters being environmental parameters under the operating conditions of the target phased array antenna; determining test condition parameters based on the operating parameters; and performing test processing on the target phased array antenna based on the test condition parameters to obtain the multiple target measurement results.

[0008] In one possible implementation, the target phased array antenna is tested according to the test condition parameters to obtain the multiple target measurement results, including: testing the current test environment to obtain current environment parameters; verifying the current environment parameters according to the test condition parameters to obtain verification results, the verification results including verification passed or verification failed; if the verification passed, then the target phased array antenna is tested according to the test condition parameters under the current test environment to obtain the multiple target measurement results.

[0009] In one possible implementation, the test condition parameters include target polarization parameters; the target phased array antenna is tested according to the test condition parameters to obtain the multiple target measurement results, including: determining a target anechoic chamber feed antenna based on the target polarization parameters, wherein the polarization parameters of the target anechoic chamber feed antenna are the target polarization parameters; determining the target anechoic chamber feed antenna as a transmitting source or a receiving source; and testing the target phased array antenna according to the test condition parameters to obtain the multiple target measurement results.

[0010] In one possible implementation, the method further includes: determining the target anechoic chamber feed antenna as a transmitting source or a receiving source; performing test processing on the target phased array antenna according to the test condition parameters to obtain multiple intermediate measurement results; determining a correction value according to the test condition parameters and the current environmental parameters; and determining the multiple target measurement results according to the correction value and the multiple intermediate measurement results.

[0011] In one possible implementation, the method further includes: receiving target performance results; determining a parameter influence graph, the parameter influence graph including multiple nodes and multiple connections between the multiple nodes, the multiple nodes corresponding to multiple measurement results, the multiple connections corresponding to multiple influence relationships, and the multiple connections corresponding to multiple weights; and determining an optimization scheme based on the multiple target measurement results, the parameter influence graph, and the target performance results, the optimization scheme being used to enable the target phased array antenna to achieve the target performance results.

[0012] In one possible implementation, the method further includes: determining multiple sample data, the multiple sample data including multiple historical measurement results and multiple historical fusion results; determining multiple second identifiers corresponding to the multiple historical measurement results; and training a model based on the multiple historical measurement results, the multiple historical fusion results, and the multiple second identifiers to obtain the fusion model.

[0013] In one possible implementation, the transmission performance indicators include at least one of the following: equivalent isotropic radiated power, error vector amplitude, adjacent channel leakage ratio, and out-of-band suppression value; wherein, the equivalent isotropic radiated power is calculated based on the transmitted signal power, feeder loss, and test probe gain; the error vector amplitude is calculated based on the reference signal and the transmitted signal; the adjacent channel leakage ratio is calculated based on the main channel signal power and the adjacent channel signal power; and the out-of-band suppression value is calculated based on the main channel signal power and the out-of-band signal power.

[0014] In one possible implementation, the receiving performance index includes at least one of the following: gain-to-noise-temperature ratio or adjacent channel selectivity; wherein the gain-to-noise-temperature ratio is calculated based on the received signal power, noise power, feeder loss, and test probe gain, and the adjacent channel selectivity is calculated based on the useful signal power and the adjacent channel interference signal power.

[0015] Secondly, embodiments of this application provide a testing apparatus for a phased array antenna, comprising: a determination module, configured to acquire multiple target measurement results of a target phased array antenna, the multiple target measurement results including at least transmission performance indicators and reception performance indicators; an acquisition module, configured to determine multiple first identifiers corresponding to the multiple target measurement results; and a fusion module, configured to input the multiple first identifiers and the multiple target measurement results into a fusion model to obtain a target fusion result of the target phased array antenna, the fusion model being configured to perform fusion processing on the multiple target measurement results based on the correlation of the multiple target measurement results, the target fusion result characterizing the performance of the target phased array antenna from multiple dimensions.

[0016] In one possible implementation, the determining module is specifically configured to receive a test request, the test request including the operating parameters of the target phased array antenna, the operating parameters being environmental parameters under the operating conditions of the target phased array antenna; the determining module is further configured to determine test condition parameters based on the operating parameters; the determining module is further configured to perform test processing on the target phased array antenna based on the test condition parameters to obtain the multiple target measurement results.

[0017] In one possible implementation, the determining module is specifically used to perform test processing on the current test environment to obtain current environment parameters; the determining module is further used to perform verification processing on the current environment parameters according to the test condition parameters to obtain verification results, the verification results including verification passed or verification failed; the determining module is further used to, if the verification is passed, perform test processing on the target phased array antenna according to the test condition parameters in the current test environment to obtain the multiple target measurement results.

[0018] In one possible implementation, the test condition parameters include target polarization parameters; the determining module is further configured to determine the target anechoic chamber feed antenna based on the target polarization parameters, wherein the polarization parameters of the target anechoic chamber feed antenna are the target polarization parameters; the determining module is further configured to determine the target anechoic chamber feed antenna as a transmitting source or a receiving source, and perform test processing on the target phased array antenna according to the test condition parameters to obtain the multiple target measurement results.

[0019] In one possible implementation, the apparatus further includes: a correction module, configured to determine the target anechoic chamber feed antenna as a transmitting source or a receiving source, and to perform test processing on the target phased array antenna according to the test condition parameters to obtain multiple intermediate measurement results; the correction module is further configured to determine a correction value according to the test condition parameters and the current environmental parameters; the correction module is further configured to determine the multiple target measurement results according to the correction value and the intermediate measurement results.

[0020] In one possible implementation, the apparatus further includes: an optimization module for receiving target performance results; the optimization module is further configured to determine a parameter influence graph, the parameter influence graph including multiple nodes and multiple connections between the multiple nodes, the multiple nodes corresponding to multiple measurement results, the multiple connections corresponding to multiple influence relationships, and the multiple connections corresponding to multiple weights; the optimization module is further configured to determine an optimization scheme based on the multiple target measurement results, the parameter influence graph, and the target performance results, the optimization scheme being used to enable the target phased array antenna to achieve the target performance results.

[0021] In one possible implementation, the apparatus further includes: a training module for determining multiple sample data, the multiple sample data including multiple historical measurement results and multiple historical fusion results; the training module is further configured to determine multiple second identifiers corresponding to the multiple historical measurement results; the training module is further configured to perform model training based on the multiple historical measurement results, the multiple historical fusion results, and the multiple second identifiers to obtain the fusion model.

[0022] In one possible implementation, the transmission performance indicators include at least one of the following: equivalent isotropic radiated power, error vector amplitude, adjacent channel leakage ratio, and out-of-band suppression value; wherein, the equivalent isotropic radiated power is calculated based on the transmitted signal power, feeder loss, and test probe gain; the error vector amplitude is calculated based on the reference signal and the transmitted signal; the adjacent channel leakage ratio is calculated based on the main channel signal power and the adjacent channel signal power; and the out-of-band suppression value is calculated based on the main channel signal power and the out-of-band signal power.

[0023] In one possible implementation, the receiving performance index includes at least one of the following: gain-to-noise-temperature ratio or adjacent channel selectivity; wherein the gain-to-noise-temperature ratio is calculated based on the received signal power, noise power, feeder loss, and test probe gain, and the adjacent channel selectivity is calculated based on the useful signal power and the adjacent channel interference signal power.

[0024] Thirdly, embodiments of this application provide a test device for a phased array antenna, including: a memory and a processor;

[0025] The memory stores computer-executed instructions;

[0026] The processor executes computer execution instructions stored in the memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect as described above.

[0027] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the first aspect and / or various possible implementations of the first aspect.

[0028] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the first aspect and / or various possible implementations of the first aspect.

[0029] This application provides a testing method, apparatus, electronic device, and storage medium for phased array antennas. The method includes: acquiring multiple target measurement results of a target phased array antenna, wherein the multiple target measurement results include at least transmission performance indicators and reception performance indicators; determining multiple first identifiers corresponding to the multiple target measurement results; inputting the multiple first identifiers and the multiple target measurement results into a fusion model to obtain a target fusion result of the target phased array antenna. The fusion model is used to fuse the multiple target measurement results based on their correlation, and the target fusion result characterizes the performance of the target phased array antenna from multiple dimensions. The above scheme, by fusing the measurement results of multiple indicators through a fusion model, can reflect the correlation between the multiple measurement results, thereby improving the accuracy of the test. Attached Figure Description

[0030] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0031] Figure 1A schematic diagram illustrating an application scenario of a testing method for a phased array antenna provided in an embodiment of this application;

[0032] Figure 2 A schematic flowchart illustrating a testing method for a phased array antenna provided in an embodiment of this application;

[0033] Figure 3 A schematic flowchart illustrating a testing method for a phased array antenna provided in an embodiment of this application;

[0034] Figure 4 This is a schematic diagram of the verification process provided in an embodiment of this application;

[0035] Figure 5 A schematic diagram illustrating the correction parameters provided in the embodiments of this application;

[0036] Figure 6 A schematic diagram of the parameter influence relationship provided in the embodiments of this application;

[0037] Figure 7 A schematic diagram of the structure of a test device for a phased array antenna provided in an embodiment of this application;

[0038] Figure 8 A schematic diagram of the structure of a test device for a phased array antenna provided in an embodiment of this application;

[0039] Figure 9 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0040] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0041] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0042] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use, processing, transmission, provision, disclosure, and application of the relevant data all comply with the relevant laws, regulations, and standards of the relevant countries and regions, have taken necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation portals for users to choose to authorize or refuse.

[0043] It should be noted that the test method, apparatus, electronic equipment and storage medium of the phased array antenna of this application can be used in the field of antenna technology, or in any field other than antenna technology. The application field of the test method, apparatus, electronic equipment and storage medium of the phased array antenna of this application is not limited.

[0044] Figure 1 This is a schematic diagram illustrating an application scenario of a testing method for a phased array antenna provided in an embodiment of this application. An example is given based on the illustrated scenario: A performance test is performed on the phased array antenna to obtain measurement results, which then represent the performance of the phased array antenna.

[0045] For example, the core principle of a phased array antenna is to use phase control to adjust the direction of the beam. Each element emits an electromagnetic wave with a certain phase difference; by adjusting these phase differences, the direction of the beam can be controlled. Specifically, the working principle of a phased array antenna includes the following steps: Signal generation: The signal source generates the required radio frequency signal. Phase control: The phase of each element is adjusted by a phase controller, causing their electromagnetic waves to coherently superimpose in space, forming a beam in a specific direction. Beam scanning: By dynamically adjusting the phase controller, the direction of the beam can be quickly changed, achieving electronic scanning of the beam.

[0046] Compared to traditional antennas, phased array antennas offer several advantages: Fast beam scanning: Phased array antennas can rapidly change beam direction without mechanical movement, significantly improving beam scanning speed and flexibility. Multi-beam operation: Phased array antennas can generate multiple beams simultaneously, enabling multi-target tracking and multi-user communication. High reliability: Phased array antennas have high redundancy between elements, ensuring the entire system continues to function even if some elements fail. Versatile design options: Phased array antennas can be designed as planar or curved surfaces, suitable for installation on various platforms such as aircraft, satellites, or ships.

[0047] For example, the performance of a phased array antenna involves multiple metrics, which represent the performance of the phased array antenna from different dimensions. There are correlations between these multiple metrics.

[0048] In related technologies, phased array antennas are tested based on individual indicators to obtain corresponding measurement results, which are then used to represent the performance of the phased array antenna. However, the correlation between multiple measurement results is not taken into account, resulting in low test accuracy.

[0049] The method for testing phased array antennas provided in this application aims to solve the above-mentioned technical problems in the prior art.

[0050] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0051] Figure 2 A flowchart illustrating a testing method for a phased array antenna provided in this application embodiment, the method comprising the following steps:

[0052] S201. Obtain multiple target measurement results for the target phased array antenna, including at least transmission performance indicators and reception performance indicators.

[0053] Among them, multiple measurement results correspond to multiple indicators.

[0054] Optionally, the target phased array antenna includes, but is not limited to, at least one of the following: digital phased array antenna, analog phased array antenna.

[0055] Optionally, multiple target measurement results include, but are not limited to, at least two of the following: gain-to-noise temperature ratio, equivalent isotropic radiated power, error vector magnitude, adjacent channel leakage ratio, out-of-band suppression value, adjacent channel selectivity, and beam count verification.

[0056] For example, the gain-to-noise-temperature ratio (G / T value) is the ratio of the gain of a phased array antenna to its noise temperature, which indicates the receiving performance of the phased array antenna.

[0057] The equivalent isotropic radiated power (AEIRP) is the product of the antenna gain and the transmit power. It represents the radiated power of a phased array antenna in a specific direction and indicates the transmit performance of the phased array antenna.

[0058] Error vector amplitude (EVM value) is the deviation between the actual constellation points and the ideal constellation points of the modulated signal, representing the modulation quality of the signal.

[0059] Adjacent Channel Leakage Ratio (ACLR) is the ratio of the power of the main channel signal leaking into the adjacent channel, representing the spectral purity of the signal.

[0060] The out-of-band suppression value is the ratio of the power of the main channel signal leaking into the out-of-band region, reflecting the out-of-band radiation characteristics of the signal.

[0061] Adjacent Channel Selectivity (ACS value) indicates the ability of a phased array antenna to suppress interference signals from adjacent channels while receiving a useful signal.

[0062] The beam count verification result verifies whether the beam count of the phased array antenna reaches the preset target beam count.

[0063] It is understandable that by using various types of measurement results, the performance of the target phased array antenna can be evaluated from multiple dimensions, thereby improving the accuracy of the evaluation.

[0064] S202. Determine multiple first identifiers corresponding to multiple target measurement results.

[0065] Among them, each of the multiple first identifiers corresponds to a different indicator.

[0066] With the example of the scenario, the first identifier can accurately determine the index corresponding to each measurement result, and the correlation between multiple measurement results can be accurately determined based on the index.

[0067] S203. Input multiple first identifiers and multiple target measurement results into the fusion model to obtain the target fusion result of the target phased array antenna.

[0068] The fusion model is used to fuse the measurement results of multiple targets based on the correlation between the measurement results of multiple targets. The target fusion result characterizes the performance of the target phased array antenna from multiple dimensions.

[0069] The fusion model integrates multiple target measurement results based on the correlation between them to obtain the target fusion result.

[0070] For example, the fusion model determines a fusion method between multiple measurement results based on multiple first identifiers.

[0071] As illustrated by the scenario example, multiple measurement results are multiple specific numerical values. If the fusion model fails to accurately distinguish the indicator corresponding to each value before fusing them, erroneous fusion may occur, leading to inaccurate target fusion results. By using multiple primary identifiers, the fusion model can accurately distinguish the indicator corresponding to each value and determine the fusion method between multiple values ​​based on the correlation between the indicators, thereby improving the accuracy of the target fusion result.

[0072] The phased array antenna testing method provided in this application acquires multiple target measurement results of the target phased array antenna, including at least transmit performance indicators and receive performance indicators; determines multiple first identifiers corresponding to the multiple target measurement results; inputs the multiple first identifiers and the multiple target measurement results into a fusion model to obtain a target fusion result of the target phased array antenna. The fusion model is used to fuse the multiple target measurement results based on their correlation, and the target fusion result characterizes the performance of the target phased array antenna from multiple dimensions. The above scheme, by fusing the measurement results of multiple indicators through a fusion model, can reflect the correlation between the multiple measurement results, thereby improving the accuracy of the test.

[0073] Based on any of the above embodiments, the following, in conjunction with Figure 3 The detailed testing process for phased array antennas is explained.

[0074] Figure 3 This is a flowchart illustrating a testing method for a phased array antenna provided in an embodiment of this application.

[0075] like Figure 3 As shown, the method includes:

[0076] S301. Receive test request, which includes the operating parameters of the target phased array antenna.

[0077] Among them, the operating parameters are the environmental parameters under the operating conditions of the target phased array antenna.

[0078] For example, operating parameters include polarization and at least one of the following: frequency, signal power, temperature, humidity, or electromagnetic interference.

[0079] With the aid of scenario examples, it is illustrated that the target phased array antenna has fixed environmental parameters in the application scenario, and the target phased array antenna operates in the environment corresponding to these operating parameters in actual applications. The measurement results obtained by testing based on these operating parameters can accurately reflect the performance of the target phased array antenna under operating conditions, thereby improving the accuracy of the test.

[0080] S302. Determine the test condition parameters based on the working parameters.

[0081] For example, the operating parameters are the environmental parameters under the operating conditions of the target phased array antenna, and the test condition parameters are the environmental parameters under test. Keeping the operating parameters and test condition parameters consistent can improve the accuracy of the test.

[0082] Based on the above implementation methods, keeping the operating parameters and test condition parameters consistent can ensure that the measurement results obtained from the test condition parameters match the performance of the target phased array antenna in actual operation, thereby improving the accuracy of the test.

[0083] S303. Perform test processing on the current test environment to obtain the current environment parameters.

[0084] The current environment parameters are the actual parameters of the current test environment.

[0085] For example, the process of testing the current test environment is performed before the test is executed, and testing the current test environment is used to verify whether the current test environment meets the requirements.

[0086] Optionally, multiple test types can be determined based on test condition parameters, and the current test environment can be processed according to each test type to obtain the current environment parameters.

[0087] S304. Verify the current environmental parameters according to the test condition parameters to obtain the verification results, which include whether the verification passed or failed.

[0088] For example, the current environment parameters are verified according to multiple test types of the test condition parameters.

[0089] Specifically, the test condition parameters and current environment parameters corresponding to each test type are determined, and the difference between the two is judged to be within a preset range, thus obtaining the judgment result. If all judgments indicate that the difference is within the preset range, the verification result is determined to be verification passed. If any difference is outside the preset range, the verification result is determined to be verification failed.

[0090] Below, in conjunction with Figure 4 The verification process is explained.

[0091] Figure 4 This is a schematic diagram of the verification process provided in an embodiment of this application. Figure 4 As shown, the current test environment is tested to obtain the current environment parameters. These parameters are categorized by type, resulting in multiple parameters, such as the first parameter, second parameter, third parameter, etc. Each parameter is compared with the corresponding test condition parameters for each type, yielding multiple differences. Based on the correspondence between each difference and a preset range, the verification result is determined.

[0092] Based on the above implementation methods, by verifying the current test environment, it can be determined whether the current test environment meets the environmental parameters under the working conditions of the target phased array antenna, thereby improving the accuracy of testing in the current test environment.

[0093] S305. If the verification is successful, then under the current test environment, the target phased array antenna is tested and processed according to the test condition parameters to obtain multiple target measurement results.

[0094] With the example scenario, if the verification is successful, it means that the current test environment meets the environmental parameters under the working conditions of the target phased array antenna, and the test can be carried out in the current test environment.

[0095] Optionally, if the verification fails, the current test environment will be calibrated.

[0096] For example, the calibration process includes transmit calibration, receive calibration, and environmental calibration. Examples of each calibration process are provided below. Transmit calibration includes: selecting a transmit channel; setting the frequency, amplitude, and phase of the channel; and recording the data collected by the probe sequentially; completing data acquisition for all transmit channels sequentially; analyzing and calculating the test data to obtain the compensation data for each channel; inserting the transmit channel compensation data and verifying the calibration results; if the results do not meet the requirements, repeating the above steps for iterative calibration until the calibration results meet the requirements. Receive calibration includes: setting the probe to transmit mode; acquiring data from all receive channels at once using the baseband component; analyzing and calculating the test data to obtain the compensation data for each channel; inserting the receive channel compensation data and verifying the calibration results; if the results do not meet the requirements, repeating the above steps for iterative calibration until the calibration results meet the requirements. Test environment calibration includes: testing the path loss of the test environment (including space loss and insertion loss of connecting cables, etc.) before the compact test to facilitate subsequent calculation and processing of indicators. The standard gain antenna is used to replace the antenna under test for link measurements. Subtracting the gain value of the standard gain antenna from the measurement result gives the link's insertion loss. The circulator in the link is used for signal selection between transmit and receive; it can be omitted when transmit and receive are tested separately. The power metering test section is used for power consumption testing and can be omitted in non-power consumption testing. Since transmission generally has parameters such as peak-to-average power ratio, all devices should have consistent timing and triggering through test control during testing to ensure aligned and effective data acquisition. The network analyzer is only used for spatial transmission loss testing; it can be omitted in other test states. Generally, system calibration should be performed before testing; this can be simplified if the test interval is short. The equipment should be warmed up before testing.

[0097] One feasible implementation method is to test the target polarization parameters. Multiple target measurement results can be obtained by the following method: based on the target polarization parameters, determine the target anechoic chamber feed antenna, and the polarization parameters of the target anechoic chamber feed antenna are the target polarization parameters; determine the target anechoic chamber feed antenna as the transmitting source or receiving source, and test the target phased array antenna according to the test condition parameters to obtain multiple target measurement results.

[0098] Optionally, an element identical to any element in the target phased array antenna can be selected as the target anechoic chamber feed antenna to reduce the difference between the target anechoic chamber feed antenna and the target phased array antenna, thereby reducing errors and improving the accuracy of the test.

[0099] As illustrated by the scenario example, a mismatch in polarization between the feed antenna and the antenna under test will introduce additional signal loss. Accurate signal transmission is fundamental to obtaining reliable results during testing. Therefore, selecting feed antennas with the same polarization can improve the accuracy of the target measurement results.

[0100] One feasible implementation method includes at least one of the following transmission performance indicators: equivalent isotropic radiated power, error vector amplitude, adjacent channel leakage ratio, and out-of-band suppression value; wherein, the equivalent isotropic radiated power is calculated based on the transmitted signal power, feeder loss, and test probe gain; the error vector amplitude is calculated based on the reference signal and the transmitted signal; the adjacent channel leakage ratio is calculated based on the main channel signal power and the adjacent channel signal power; and the out-of-band suppression value is calculated based on the main channel signal power and the out-of-band signal power.

[0101] One feasible implementation method includes at least one of the following receiving performance indicators: gain-to-noise-temperature ratio or adjacent channel selectivity; wherein, the gain-to-noise-temperature ratio is calculated based on the received signal power, noise power, feeder loss, and test probe gain, and the adjacent channel selectivity is calculated based on the useful signal power and the adjacent channel interference signal power.

[0102] For example, the process of testing the gain-to-noise-temperature ratio may include: determining the anechoic chamber feed antenna; the array receiving beam pointing to the normal, and searching for the maximum value of the beam pointing by rotating the turntable within a small range; the signal source not transmitting a signal, and recording the noise power spectral density of the array at the test signal frequency in a cold-air environment; the signal source transmitting a signal, and recording the signal power received by the array; at the output, calculating the noise power spectral density and the received signal power of the array in a cold-air environment using the in-phase and quadrature components of the sampling points; and calculating the gain-to-noise-temperature ratio according to the following formula:

[0103]

[0104] in, This represents the gain-to-noise ratio, where K represents the Boltzmann constant. A r This represents the signal power received by the array when the signal source transmits the signal. N0 represents the noise power spectral density of the array's receiving channel under cold air conditions. d represents the distance from the phase center of the test probe to the midpoint of the reflecting surface. λ represents the wavelength of the test signal. L s This indicates the feeder loss from the test probe to the signal source. G sIndicates the test probe gain. P s This indicates the output power of the signal source.

[0105] Optional, The formula for calculating spatial transmission loss is provided. In actual testing, the measured value of spatial transmission loss can also be obtained through spatial calibration and used as a substitute.

[0106] For example, the process of testing the equivalent isotropic radiated power may include: determining the anechoic chamber feed antenna; the receiving beam pointing to the normal of the array; searching for the maximum value of the beam pointing by rotating the turntable within a small range; the array transmitting a signal; recording the spectrum analyzer readings; and calculating the equivalent isotropic radiated power according to the following formula:

[0107]

[0108] Where AEIRP represents the equivalent isotropic radiated power, A s This represents the reading from the spectrum analyzer. d represents the distance from the phase center of the test probe to the midpoint of the reflecting surface. λ represents the wavelength of the test signal. L s This indicates the feeder loss from the test probe to the signal source. G s This indicates the gain of the test probe.

[0109] For example, the process of testing the error vector amplitude may include: determining the anechoic chamber feed antenna; pointing the array receiving beam to the normal; searching for the maximum value of the beam pointing by rotating the turntable within a small range; configuring the number of carriers and carrier power of the downlink transmit antenna; starting array transmission and completing amplitude and phase calibration according to the corresponding mode; configuring the weight of each beam and adjusting the turntable to align the beam pointing to the center of the anechoic chamber reflector; and testing the error vector amplitude performance under Cyclic Prefix Orthogonal Frequency Division Multiplexing (CP-OFDM) and 64-Quadrature Amplitude Modulation (QAM) modulation.

[0110] For example, the adjacent channel frequency within the operating frequency band is called the adjacent channel leakage ratio, and the adjacent channel frequency outside the operating frequency band is called the out-of-band rejection ratio. The testing process may include: the array transmitting a beam pointing to the normal; the array transmitting a signal, recording the operating channel amplitude measured by the spectrum analyzer and the maximum noise amplitude within the operating frequency band (excluding the fundamental frequency), and calculating the ratio of the latter to the former, which is the transmit adjacent channel leakage ratio; the array transmitting a signal, recording the operating channel amplitude (the channel closest to the upper and lower edges of the operating frequency band) measured by the spectrum analyzer and the maximum noise amplitude outside the operating frequency band, and calculating the ratio of the latter to the former, which is the transmit out-of-band rejection ratio.

[0111] For example, the process of measuring adjacent channel selectivity may include: feeding a useful signal and an interfering signal respectively through two signal sources (the signal feed amplitudes are consistent with product specifications). The array receives the beam pointing to the normal. The array receives the signals, records the amplitudes of the operating frequency and the interfering frequency measured by the spectrum analyzer, and calculates the ratio of the latter to the former to obtain the adjacent channel selectivity.

[0112] For example, the process of measuring the beam count verification results may include: checking that the design scheme for the uplink and downlink beam counts meets the beam count requirements of the target phased array antenna specification (taking 32 beams as an example). For the downlink transmit beam, the verification result is obtained by performing pattern testing based on the in-phase components, quadrature components, and digital beamforming output of each of the 32 beams. For the uplink receive beam, for the received signal, the 32 beam data are output through digital beamforming, and 32 patterns can be verified, thus obtaining the verification result.

[0113] Based on the above implementation methods, the measurement results are obtained through specific testing methods, which can improve the accuracy of the measurement results compared to estimation methods.

[0114] One feasible implementation method for testing phased array antennas includes: determining the target anechoic chamber feed antenna as the transmitting or receiving source; performing test processing on the target phased array antenna according to test condition parameters to obtain multiple intermediate measurement results; determining correction values ​​based on test condition parameters and current environmental parameters; and determining multiple target measurement results based on correction values ​​and multiple intermediate measurement results.

[0115] Below, in conjunction with Figure 5 The correction parameters are explained.

[0116] Figure 5 This is a schematic diagram illustrating the modified parameters provided in the embodiments of this application. For example... Figure 5 As shown, intermediate measurement results are obtained by testing the target phased array antenna according to the test condition parameters. If the current environmental parameters differ from the environmental parameters under the operating conditions of the target phased array antenna, the intermediate measurement results will not accurately reflect the performance of the target phased array antenna. Correction values ​​determined by the test condition parameters and the current environmental parameters can reflect this difference. Correcting the intermediate measurement results with these correction values ​​will yield target measurement results that more accurately reflect the performance of the target phased array antenna.

[0117] In this feasible implementation, the impact of current environmental parameter errors on the measurement results can be reduced through correction processing, thereby improving the accuracy of the target measurement results.

[0118] One feasible implementation method for testing phased array antennas further includes: receiving target performance results; determining a parameter influence diagram, which includes multiple nodes and multiple connections between the nodes, with multiple nodes corresponding to multiple measurement results, multiple connections corresponding to multiple influence relationships, and multiple connections corresponding to multiple weights; and determining an optimization scheme based on multiple target measurement results, the parameter influence diagram, and the target performance results, with the optimization scheme used to enable the target phased array antenna to achieve the target performance results.

[0119] Each weight represents the degree of influence of the corresponding relationship. The target performance result is the performance that the phased array antenna meets the user's requirements. The multiple target measurement results represent the current performance.

[0120] Below, in conjunction with Figure 6 Explain the parameter influence relationship diagram.

[0121] Figure 6 This is a schematic diagram of the parameter influence relationship provided in an embodiment of this application. For example... Figure 6 As shown, there is an influence relationship between two connected measurement results, and the weight represents the degree of influence corresponding to the relationship. For example, a change in the value of measurement result 1 affects the value of measurement result 3. The values ​​of measurement result 1 and measurement result 2 influence each other.

[0122] With scenario examples, a higher gain-to-noise-temperature ratio indicates better receiving performance, while a higher equivalent isotropic radiated power indicates better transmitting performance. There is an influence between receiving and transmitting performance. A higher gain-to-noise-temperature ratio corresponds to a higher equivalent isotropic radiated power.

[0123] For example, the optimization scheme includes optimization measures corresponding to the measurement results that need to be optimized.

[0124] With a scenario example, if comparing the target performance results reveals that the gain-to-noise temperature ratio, error vector amplitude, and adjacent channel leakage ratio do not meet the target performance, then an optimization scheme is used to improve these parameters. In determining the optimization scheme, relevant parameters are identified by referring to the parameter influence diagram, and the optimization scheme is determined based on the gain-to-noise temperature ratio, error vector amplitude, adjacent channel leakage ratio, and other relevant parameters.

[0125] In this feasible implementation method, the correlation between measurement results can be comprehensively analyzed through the parameter influence relationship diagram to determine the optimization scheme, thereby improving the accuracy of the optimization scheme.

[0126] S306. Determine multiple first identifiers corresponding to multiple target measurement results.

[0127] One feasible implementation method is to refer to S202 for the execution process of S306, which will not be repeated here.

[0128] S307. Input multiple first identifiers and multiple target measurement results into the fusion model to obtain the target fusion result of the target phased array antenna.

[0129] One feasible implementation method for testing phased array antennas further includes: determining multiple sample data, which include multiple historical measurement results and multiple historical fusion results; determining multiple second identifiers corresponding to the multiple historical measurement results; and training a model based on the multiple historical measurement results, the multiple historical fusion results, and the multiple second identifiers to obtain a fusion model.

[0130] The second identifier corresponds to the indicator corresponding to the historical measurement results.

[0131] Optionally, multiple historical measurement results and multiple historical fusion results are manually reviewed and verified to ensure the accuracy of model training.

[0132] For example, a fusion model is obtained by using multiple historical measurement results and multiple second identifiers as input data and using the historical fusion results as labels for model training.

[0133] With scenario examples, it is shown that through model training, the fusion model learns the complex relationships between multiple historical fusion results, multiple historical measurement results, and multiple second identifiers, thereby achieving the prediction of fusion results.

[0134] In this feasible implementation, the model is trained using a supervised method, giving the model a clear objective and thus improving the accuracy of the fusion model.

[0135] Figure 7 This is a schematic diagram of a test apparatus for a phased array antenna provided in an embodiment of this application. Figure 7 As shown, the test device 70 for the phased array antenna may include: a determination module 71, an acquisition module 72, and a fusion module 73, wherein,

[0136] The determination module 71 is used to acquire multiple target measurement results of the target phased array antenna, and the multiple target measurement results include at least the transmission performance index and the reception performance index.

[0137] The acquisition module 72 is used to determine multiple first identifiers corresponding to multiple target measurement results.

[0138] The fusion module 73 is used to input multiple first identifiers and multiple target measurement results into the fusion model to obtain the target fusion result of the target phased array antenna. The fusion model is used to fuse multiple target measurement results according to the correlation of multiple target measurement results. The target fusion result characterizes the performance of the target phased array antenna from multiple dimensions.

[0139] Optionally, module 71 can be executed. Figure 2 S201 in the embodiment.

[0140] Optionally, module 72 can be executed. Figure 2 S202 in the embodiment.

[0141] Optionally, the fusion module 73 can execute Figure 2 S203 in the embodiment.

[0142] It should be noted that the test device for the phased array antenna shown in the embodiments of this application can execute the technical solution shown in the above method embodiments, and its implementation principle and beneficial effects are similar, so they will not be described again here.

[0143] In one possible implementation, the determining module 71 is specifically used for:

[0144] Receive a test request, which includes the operating parameters of the target phased array antenna. The operating parameters are the environmental parameters under the operating conditions of the target phased array antenna.

[0145] Determine the test condition parameters based on the operating parameters;

[0146] The target phased array antenna was tested and processed according to the test conditions and parameters, and multiple target measurement results were obtained.

[0147] In one possible implementation, the determining module 71 is specifically used for:

[0148] Perform testing on the current test environment to obtain the current environment parameters;

[0149] The current environmental parameters are verified based on the test condition parameters to obtain the verification results, which include whether the verification passed or failed.

[0150] If the verification is successful, the target phased array antenna will be tested and processed according to the test condition parameters under the current test environment to obtain multiple target measurement results.

[0151] In one possible implementation, the test condition parameters include target polarization parameters; the determination module 71 is specifically used for:

[0152] Based on the target polarization parameters, the target anechoic chamber feed antenna is determined, and the polarization parameters of the target anechoic chamber feed antenna are the target polarization parameters.

[0153] The target anechoic chamber feed antenna is determined as the transmitting or receiving source. The target phased array antenna is tested and processed according to the test condition parameters to obtain multiple target measurement results.

[0154] Figure 8 This is a schematic diagram of a test apparatus for a phased array antenna provided in an embodiment of this application. Figure 7 Based on the illustrated embodiments, as Figure 8 As shown, the test apparatus 80 for the phased array antenna also includes: a correction module 74, an optimization module 75, and a training module 76, wherein:

[0155] Correction module 74, used for:

[0156] The target anechoic chamber feed antenna is determined as the transmitting or receiving source. The target phased array antenna is tested and processed according to the test condition parameters to obtain multiple intermediate measurement results.

[0157] Determine the correction value based on the test condition parameters and the current environmental parameters;

[0158] Based on the correction values ​​and multiple intermediate measurement results, multiple target measurement results are determined.

[0159] Optimization module 75 is used for:

[0160] Receive the target performance results;

[0161] Determine the parameter influence relationship diagram, which includes multiple nodes and multiple connections between the nodes. Multiple nodes correspond to multiple measurement results, multiple connections correspond to multiple influence relationships, and multiple connections correspond to multiple weights.

[0162] Based on the measurement results of multiple targets, the parameter influence relationship diagram, and the target performance results, an optimization scheme is determined. The optimization scheme is used to enable the target phased array antenna to achieve the target performance results.

[0163] Training module 76 is used for:

[0164] Multiple sample data points are identified, including multiple historical measurement results and multiple historical fusion results;

[0165] Identify multiple secondary identifiers corresponding to multiple historical measurement results;

[0166] The fusion model is obtained by training the model based on multiple historical measurement results, multiple historical fusion results, and multiple secondary identifiers.

[0167] In one possible implementation, the transmission performance indicators include at least one of the following: equivalent isotropic radiated power, error vector amplitude, adjacent channel leakage ratio, and out-of-band suppression value; wherein, the equivalent isotropic radiated power is calculated based on the transmitted signal power, feeder loss, and test probe gain; the error vector amplitude is calculated based on the reference signal and the transmitted signal; the adjacent channel leakage ratio is calculated based on the main channel signal power and the adjacent channel signal power; and the out-of-band suppression value is calculated based on the main channel signal power and the out-of-band signal power.

[0168] In one possible implementation, the receiving performance metrics include at least one of the following: gain-to-noise-temperature ratio or adjacent channel selectivity; wherein the gain-to-noise-temperature ratio is calculated based on the received signal power, noise power, feeder loss, and test probe gain, and the adjacent channel selectivity is calculated based on the useful signal power and the adjacent channel interference signal power.

[0169] Figure 9 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application, such as... Figure 9 As shown, the electronic device includes:

[0170] The electronic device includes a processor 291 and a memory 292; it may also include a communication interface 293 and a bus 294. The processor 291, memory 292, and communication interface 293 can communicate with each other via the bus 294. The communication interface 293 can be used for information transmission. The processor 291 can invoke logical instructions stored in the memory 292 to execute the methods of the above embodiments.

[0171] Furthermore, the logic instructions in the aforementioned memory 292 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.

[0172] The memory 292, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of this application. The processor 291 executes functional applications and data processing by running the software programs, instructions, and modules stored in the memory 292, thereby implementing the methods in the above-described method embodiments.

[0173] The memory 292 may include a program storage area and a data storage area. The program storage area may store the operating system and application programs required for at least one function; the data storage area may store data created based on the use of the terminal device. Furthermore, the memory 292 may include high-speed random access memory and may also include non-volatile memory.

[0174] This application provides a non-transitory computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the methods described in the foregoing embodiments.

[0175] This application provides a computer program product, including a computer program that, when executed by a processor, implements the method as described in the foregoing embodiments.

[0176] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this application.

[0177] It should be further noted that although the steps in the flowchart are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowchart may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0178] It should be understood that the above-described device embodiments are merely illustrative, and the device of this application can also be implemented in other ways. For example, the division of units / modules in the above embodiments is only a logical functional division, and there may be other division methods in actual implementation. For example, multiple units, modules, or components may be combined, or integrated into another system, or some features may be ignored or not executed.

[0179] Furthermore, unless otherwise specified, the functional units / modules in the various embodiments of this application can be integrated into one unit / module, or each unit / module can exist physically separately, or two or more units / modules can be integrated together. The integrated units / modules described above can be implemented in hardware or as software program modules.

[0180] When the integrated unit / module is implemented in hardware, the hardware can be digital circuits, analog circuits, etc. The physical implementation of the hardware structure includes, but is not limited to, transistors, memristors, etc. The processor can be any suitable hardware processor, such as CPU, GPU, FPGA, DSP, and ASIC. The storage unit can be any suitable magnetic or magneto-optical storage medium, such as Resistive Random Access Memory (RRAM), Dynamic Random Access Memory (DRAM), Static Random Access Memory (SRAM), Enhanced Dynamic Random Access Memory (EDRAM), High-Bandwidth Memory (HBM), Hybrid Memory Cube (HMC), etc.

[0181] If the integrated unit / module is implemented as a software program module and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory 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 of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0182] In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments. The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification.

[0183] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0184] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A testing method for a phased array antenna, characterized in that, include: Acquire multiple target measurement results of the target phased array antenna, wherein the multiple target measurement results include at least transmission performance indicators and reception performance indicators; Determine multiple first identifiers corresponding to the multiple target measurement results; The multiple first identifiers and the multiple target measurement results are input into the fusion model to obtain the target fusion result of the target phased array antenna. The fusion model is used to fuse the multiple target measurement results according to the correlation of the multiple target measurement results. The target fusion result characterizes the performance of the target phased array antenna from multiple dimensions.

2. The method according to claim 1, characterized in that, Acquire multiple target measurement results for the target phased array antenna, including: Receive a test request, the test request including the operating parameters of the target phased array antenna, the operating parameters being environmental parameters under the operating conditions of the target phased array antenna; Determine the test condition parameters based on the aforementioned operating parameters; The target phased array antenna is tested and processed according to the test condition parameters to obtain the measurement results of the multiple targets.

3. The method according to claim 2, characterized in that, The target phased array antenna is tested and processed according to the test condition parameters to obtain the measurement results of the multiple targets, including: Perform testing on the current test environment to obtain the current environment parameters; The current environment parameters are verified based on the test condition parameters to obtain a verification result, which includes verification passed or verification failed. If the verification is successful, the target phased array antenna will be tested and processed according to the test condition parameters under the current test environment to obtain the measurement results of the multiple targets.

4. The method according to claim 3, characterized in that, The test condition parameters include target polarization parameters; the target phased array antenna is tested and processed according to the test condition parameters to obtain the measurement results of the multiple targets, including: Based on the target polarization parameters, the target anechoic chamber feed antenna is determined, and the polarization parameters of the target anechoic chamber feed antenna are the target polarization parameters; The target anechoic chamber feed antenna is determined as the transmitting or receiving source, and the target phased array antenna is tested and processed according to the test condition parameters to obtain the measurement results of the multiple targets.

5. The method according to claim 4, characterized in that, The method further includes: The target anechoic chamber feed antenna is determined as the transmitting source or the receiving source. The target phased array antenna is tested and processed according to the test condition parameters to obtain multiple intermediate measurement results. Determine the correction value based on the test condition parameters and the current environment parameters; The multiple target measurement results are determined based on the correction value and the multiple intermediate measurement results.

6. The method according to any one of claims 1-5, characterized in that, The method further includes: Receive the target performance results; A parameter influence relationship diagram is determined, which includes multiple nodes and multiple connections between the nodes. The multiple nodes correspond to multiple measurement results, the multiple connections correspond to multiple influence relationships, and the multiple connections correspond to multiple weights. Based on the multiple target measurement results, the parameter influence relationship diagram, and the target performance results, an optimization scheme is determined, which is used to enable the target phased array antenna to achieve the target performance results.

7. The method according to any one of claims 1-6, characterized in that, The method further includes: Multiple sample data are identified, including multiple historical measurement results and multiple historical fusion results; Determine multiple second identifiers corresponding to the multiple historical measurement results; The fusion model is obtained by training the model based on the multiple historical measurement results, multiple historical fusion results, and the multiple second identifiers.

8. The method according to claim 1, characterized in that, The emission performance indicators include at least one of the following: equivalent isotropic radiated power, error vector amplitude, adjacent channel leakage ratio, and out-of-band suppression value; The equivalent omnidirectional radiated power is calculated based on the transmitted signal power, feeder loss, and test probe gain. The error vector amplitude is calculated based on the reference signal and the transmitted signal. The adjacent channel leakage ratio is calculated based on the main channel signal power and the adjacent channel signal power. The out-of-band suppression value is calculated based on the main channel signal power and the out-of-band signal power.

9. The method according to claim 1, characterized in that, The receiving performance indicators include at least one of the following: gain-to-noise-temperature ratio, or adjacent channel selectivity; The gain-to-noise-temperature ratio is calculated based on the received signal power, noise power, feeder loss, and test probe gain. The adjacent channel selectivity is calculated based on the useful signal power and the adjacent channel interference signal power.

10. A testing device for a phased array antenna, characterized in that, include: The determination module is used to acquire multiple target measurement results of the target phased array antenna, wherein the multiple target measurement results include at least transmission performance indicators and reception performance indicators; The acquisition module is used to determine multiple first identifiers corresponding to the multiple target measurement results; The fusion module is used to input the plurality of first identifiers and the plurality of target measurement results into the fusion model to obtain the target fusion result of the target phased array antenna. The fusion model is used to perform fusion processing on the plurality of target measurement results according to the correlation of the plurality of target measurement results. The target fusion result characterizes the performance of the target phased array antenna from multiple dimensions.

11. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-9.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-9.

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