An Antenna Array Fault Diagnosis Method Based on Deep Neural Network and Radiation Data Compensation

Abstract

The invention discloses an antenna array fault diagnosis method based on a deep neural network and radiation data compensation, belonging to the fields of antenna signal processing and fault identification. In the training stage before the application of the antenna, the present invention first uses the probe to measure the radiation data of the array in various fault scenarios at multiple measurement points in the far field area, and then uses the measured data as the input of the neural network, and the failure The number and position of array elements are used as output respectively to train two neural networks; the second is the application phase, where the far-field radiation data of the array to be diagnosed is measured at the same sampling point as the training phase, and then the test data is input into the In the trained neural network, the positions of the most likely failure array elements are initially determined, and then the positions of all possible failure array elements are gradually determined by using the radiation compensation method. The algorithm effectively reduces the sample data that needs to be collected in the training stage by means of data compensation, and is suitable for large-scale array fault diagnosis.

Description

technical field [0001] The present invention relates to the field of antenna array signal processing and deep learning, specifically, an antenna array fault diagnosis method based on deep learning. Background technique [0002] An array antenna is a special antenna composed of two or more antenna units arranged according to certain rules or randomly. Compared with a single antenna, an array antenna has many advantages, mainly including: higher antenna gain, stronger Directionality, very narrow beam width, and beam scanning etc. At present, array antennas play an indispensable role in various fields such as radar detection, mobile communication, and satellite remote sensing. There is a close relationship between the radiation performance of an array antenna and the number of radiating elements. In general, the more radiating elements, the better the radiation performance of the antenna. For example, a large-scale military phased array usually contains hundreds or thousands ...

AI Technical Summary

Problems solved by technology

[0004] Since the parametric model method requires a large amount of data and a large amount of calculation in the training phase, the existing array fault diagnosis method based on the parametric model only stays in the fault diagnosis of small-scale arrays with a small number of failed array elements.

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