CN-121984608-A - Phased array antenna fault diagnosis method, equipment, medium and product

CN121984608ACN 121984608 ACN121984608 ACN 121984608ACN-121984608-A

Abstract

The application discloses a phased array antenna fault diagnosis method, equipment, medium and product, relating to the field of fault diagnosis, wherein the method comprises the steps of completing the measurement of multiple antenna outfield test data by a fault simulation method to obtain test data; the method comprises the steps of performing error removal processing on antenna outfield test data in test data to obtain processed data, generating a plurality of groups of corresponding relation data based on the processed data and combining with the position information of a TR assembly, constructing a multi-layer neural network based on the plurality of groups of corresponding relation data, obtaining outfield test data of a phased array antenna to be diagnosed, performing error removal processing on the outfield test data, and obtaining a fault diagnosis result based on the outfield test data after the error removal processing by adopting the multi-layer neural network. The application can improve the quality of test data, finish the accurate positioning of random faults, and further improve the accuracy of fault diagnosis.

Inventors

HAN NING
WANG PIN
ZHANG XIAONA
GAO PING
SONG MINGCHANG
SUN JING
KANG KE
GAO FENG
WANG XUJIAO

Assignees

中国人民解放军32181部队

Dates

Publication Date: 20260505
Application Date: 20260310

Claims (10)

1. A method for diagnosing a phased array antenna failure, comprising: The method comprises the steps of completing the measurement of multiple times of antenna external field test data by a fault simulation method to obtain the test data; Performing error removal processing on the antenna external field test data in the test data to obtain processed data; Generating a plurality of groups of corresponding relation data by combining the position information of the TR component based on the processed data; constructing a multi-layer neural network based on a plurality of groups of corresponding relation data; obtaining the external field test data of the phased array antenna to be diagnosed, and performing error removal processing on the external field test data; And obtaining a fault diagnosis result based on the outfield test data after the error removal processing by adopting the multi-layer neural network.
2. The method for diagnosing a phased array antenna fault as claimed in claim 1, wherein the measuring of the antenna outfield test data for a plurality of times is accomplished by a fault simulation method to obtain test data, comprising: After various faults of the TR components at different positions are manufactured by plugging the TR components of the phased array antenna, corresponding antenna outfield test data are measured, and the test data are obtained.
3. The method for diagnosing a phased array antenna failure as recited in claim 2, wherein measuring corresponding antenna outfield test data includes measuring signal radiated power information at different points in an antenna outfield space using a spectrum analyzer having position information to obtain the antenna outfield test data.
4. A phased array antenna fault diagnosis method according to claim 3, wherein in the process of measuring corresponding antenna external field test data, 180 degrees of sector of forward radiation direction of the phased array antenna is divided into m directions according to 1 degree, and divided into n different high and low angles in each direction, and signal radiation power information of corresponding points of different high and low angles in antenna external field space is measured.
5. The method of claim 1, wherein performing error removal processing on the antenna outfield test data in the test data to obtain processed data comprises: and performing error removal processing on the antenna external field test data in the test data by adopting a median filtering processing method to obtain the processed data.
6. The phased array antenna fault diagnosis method according to claim 1, wherein constructing a multi-layer neural network based on a plurality of sets of the correspondence data comprises: And (3) representing nodes of a first layer of neural network in the multi-layer neural network by m data in the multiple sets of corresponding relation data, representing nodes of a second layer of neural network in the multi-layer neural network by n data in the multiple sets of relation data, and representing nodes of a third layer of neural network in the multi-layer neural network by position information corresponding to the fault TR component in the multiple sets of relation data.
7. The phased array antenna fault diagnosis method according to claim 1, wherein generating a plurality of sets of correspondence data in combination with the position information of the TR module based on the processed data, comprises: the formula Xsk n =x' sk./sqrt (skx skx+sky Sky) carrying out noise reduction treatment on the treated data to obtain a plurality of groups of corresponding relation data; Wherein Xsk n is corresponding relation data, namely data obtained by denoising the processed data X 'sk by adopting position information sk, sqrt () represents an evolution operation,/represents the same division operation on each element in the processed data X' sk, skx represents abscissa position information of the TR component, sky represents ordinate position information of the TR component.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, characterized in that the processor executes the computer program to implement the phased array antenna fault diagnosis method of any one of claims 1-7.
9. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the phased array antenna fault diagnosis method of any of claims 1-7.
10. A computer program product comprising a computer program which, when executed by a processor, implements the phased array antenna fault diagnosis method of any one of claims 1 to 7.

Description

Phased array antenna fault diagnosis method, equipment, medium and product Technical Field The present application relates to the field of fault diagnosis, and in particular, to a phased array antenna fault diagnosis method, apparatus, medium, and product. Background Phased array antennas are used as core devices of modern radar, communication (especially satellite communication and 5G/6G base stations), electronic countermeasure and other systems, and the performance and reliability of the phased array antennas directly determine the efficiency of the whole system. Therefore, it is important to diagnose the failure of the phased array antenna. The prior art generally performs fault localization by measuring the amplitude and phase information of all TR elements in a phased array antenna. However, the method is long in time consumption, the testing precision is greatly influenced by the instrument, the influence of external environment is also more, relatively accurate information is not easy to obtain, and the fault diagnosis precision is low. In addition, the existing method also has the problem that the random faults cannot be effectively and accurately positioned, particularly for the TR component which has not failed in the past, the historical experience data is lacked for comparison, so that the existing method cannot effectively diagnose the random faults. Disclosure of Invention In order to solve the problems, the application provides a phased array antenna fault diagnosis method, equipment, a medium and a product. In order to achieve the above object, the present application provides the following solutions: In a first aspect, the present application provides a phased array antenna fault diagnosis method, including: The method comprises the steps of completing the measurement of multiple times of antenna external field test data by a fault simulation method to obtain the test data; Performing error removal processing on the antenna external field test data in the test data to obtain processed data; Generating a plurality of groups of corresponding relation data by combining the position information of the TR component based on the processed data; constructing a multi-layer neural network based on a plurality of groups of corresponding relation data; obtaining the external field test data of the phased array antenna to be diagnosed, and performing error removal processing on the external field test data; And obtaining a fault diagnosis result based on the outfield test data after the error removal processing by adopting the multi-layer neural network. In a second aspect, the application provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the computer program to perform the steps of the phased array antenna fault diagnosis method provided above. In a third aspect, the present application provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the phased array antenna fault diagnosis method provided above. In a fourth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of the phased array antenna fault diagnosis method provided above. According to the specific embodiment provided by the application, the application has the following technical effects: The application provides a phased array antenna fault diagnosis method, equipment, medium and product, which are characterized in that error removal processing is carried out on antenna external field test data in test data, and based on the processed data, a plurality of groups of corresponding relation data are generated by combining the position information of the TR component, so that most external influences can be removed, and the quality of the test data is improved. And by adopting the multi-layer neural network constructed based on the multiple groups of corresponding relation data, the fault diagnosis result is obtained based on the external field test data after the error removal processing, so that the accurate positioning of the random faults can be completed, and the accuracy of fault diagnosis is improved. Drawings In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art. Fig. 1 is a schematic flow chart of a phased array antenna fault diagnosis method according to an embodiment of the present application; FIG. 2 is a schematic diagram of a multi-layer neural network