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

A deep neural network and data compensation technology, applied in the field of antenna array signal processing and deep learning, can solve problems such as large amount of data calculation, stay, and large number of parameter model methods.

CN111523568BActive Publication Date: 2022-05-03UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2022-05-03

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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.
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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 ...

Examples

Embodiment Construction

[0028] The fault array considered in this implementation is a uniform linear array containing 50 array elements, and the array element spacing is 0.5λ, where λ is the wavelength. In practical applications, the number of failed array elements is usually small, so it is assumed that the number of failed array elements in the array is at most 7.

[0029] Model training phase:

[0030] Step 1: This embodiment measures the amplitude and phase data of the fault array radiation field at intervals of 2° within the range of pitch angle θ∈[-90°, 90°], and each sample data contains 91 measurement points. Work array element incentive x i =1, failure array element excitation x i = 0, in the far-field area, under each condition of determining the number of array element failures, measure the radiation data of 700 times of random failure scenarios of array element positions and perform standardized processing.

[0031] Step 2: All the measurement data z=[Re(z), Im(z)] in step 1 are used t...