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Interferometer angle calculation method based on neural network

A neural network and interferometer technology, applied in the field of electronic countermeasures data processing, can solve the problems of multiple correction parameters and deterioration of angle measurement accuracy, and achieve the effect of improving angle measurement accuracy

Active Publication Date: 2020-11-24
CNGC INST NO 206 OF CHINA ARMS IND GRP
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Problems solved by technology

[0012] In order to improve the problem that the existing interferometer has many correction parameters under the condition of large bandwidth and the angle measurement precision deterioration caused by the phase jitter is more serious, the present invention proposes a neural network-based interferometer angle calculation method

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  • Interferometer angle calculation method based on neural network
  • Interferometer angle calculation method based on neural network

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Embodiment Construction

[0037] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0038] The embodiment of the present invention is mainly divided into three stages: neural network model building, network model training and network model practical application. The specific implementation steps are as follows:

[0039] S1. Collection of training data:

[0040] The collection of training data mainly includes: using an interferometer to obtain phase information at a certain angle; preprocessing the obtained information to be suitable for later neural network training.

[0041] S101. Install the interferometer on the experimental turntable, use the turntable to adjust the angle between the interferometer and the signal source, adjust the turntable at intervals of 1 degree, use the interferometer to measure the phase and frequency of the signal, and four measurement antennas get four different The phase value of the same signal corresponds to a f...

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Abstract

The invention relates to an interferometer angle calculation method based on a neural network algorithm, and the method comprises the steps: fitting an interferometer angle measurement equation curvethrough a multilayer neural network, and calculating the arrival angle of an incoming wave signal according to the input frequency and phase information. The method can achieve the independent training of a single interferometer, saves the correction process of the interferometer, and can improve the angle measurement precision. The method has the characteristic of being insensitive to the interferometer arraying mode, and can adapt to various different interferometer arraying modes through the same training mode. Meanwhile, the method is not sensitive to the angle range of the incoming wave signal, and can be used for fitting a nonlinear curve under a large-angle condition so that the angle measurement range of the interferometer can be expanded.

Description

technical field [0001] The invention belongs to the technical field of electronic countermeasures data processing, especially for the angle calculation method of the interferometer electronic reconnaissance system, and further relates to the antenna array method and calibration method of the interferometer electronic reconnaissance system, so as to simplify the calibration process of the interferometer electronic reconnaissance system , to expand the formation method and improve the accuracy of direction finding. Background technique [0002] The electronic reconnaissance system uses fast, high-precision, high-recognition rate passive detection technology for battlefield surveillance and situational awareness, which has become an important means of information acquisition in modern warfare. Interferometer equipment has the ability to locate and measure its signal source, and has the advantages of high system accuracy, high sensitivity, strong anti-interference, short data pr...

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Application Information

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IPC IPC(8): G01S3/40G06N3/04G06N3/08
CPCG01S3/40G06N3/08G06N3/045
Inventor 郭磊余建宇乔宏乐
Owner CNGC INST NO 206 OF CHINA ARMS IND GRP
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