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Intelligent amplitude comparison angle measurement method based on neural network, storage medium and equipment

A technology of neural network and amplitude ratio angle measurement, which is applied in the field of radar signals, can solve the problems of narrow instantaneous field of view and long interception time, and achieve the effect of accurate radiation source angle measurement and elimination of system noise and environmental noise

Active Publication Date: 2020-11-13
XIDIAN UNIV
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Problems solved by technology

The sequential lateral method is also called the search method direction finding, which has serious defects: the instantaneous field of view is narrow, and the interception time is long

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  • Intelligent amplitude comparison angle measurement method based on neural network, storage medium and equipment
  • Intelligent amplitude comparison angle measurement method based on neural network, storage medium and equipment
  • Intelligent amplitude comparison angle measurement method based on neural network, storage medium and equipment

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Embodiment Construction

[0040] The invention provides a neural network-based intelligent method for measuring angles by comparing amplitudes, performing data collection and preprocessing, designing experiments to obtain model training data, eliminating certain noise data according to empirical knowledge, and transforming data representations in order to adapt to network models ; On the basis of the ratio of amplitude and angle measurement, combined with the neural network learning method, design a reasonable neural network model and train it, select the appropriate model and parameters, carry out model training on the training data, and obtain the trained model parameters; and then train Test the test data on a good model, and the network output is the arrival angle of the radiation source. The model is trained through the experimental data, the key information in the data is deeply mined, and the correlation between the measurement data and the angle is accurately fitted, so as to realize the accurat...

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Abstract

The invention discloses an intelligent amplitude comparison angle measurement method based on a neural network, a storage medium and equipment. The method comprises the steps of: setting a radiation source and a sampling experiment at intervals, and completing data collection through the frequency point and angle measurement frequency and the measurement amplitudes and preset angles of four antennas as the known angle information of data; carrying out noise data elimination and data conversion on the collected data; designing a multilayer perceptron neural network model; dividing the processeddata into a training data set and a verification data set, training the neural network model by using the training data set, and minimizing a loss function; performing performance verification on thetrained neural network model by using the verification data set; and estimating the angle of arrival of an actual radiation source by applying the verified neural network model. According to the invention, the traditional theory of amplitude comparison angle measurement is reasonably combined with an advanced neural network intelligent calculation method, and more accurate radiation source anglemeasurement can be realized.

Description

technical field [0001] The invention belongs to the technical field of radar signals, and in particular relates to a neural network-based intelligent amplitude ratio angle measurement method, storage medium and equipment. Background technique [0002] The direction measurement of the radar is realized by measuring the angle of arrival of the electromagnetic wave radiated by the radar. The measurement of the angle of arrival is an important task in the electronic reconnaissance system. Through the measurement of this angle, signal sorting can be realized, the burden on the main processor can be reduced, the azimuth guidance of the jammer and the passive positioning of the radar can be realized. [0003] At present, the commonly used direction finding methods can be divided into sequential direction finding method and simultaneous direction finding method from the time domain, and can be divided into amplitude method and phase method according to the formation of angle of arri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/68G01S7/41G06N3/04G06N3/08
CPCG01S13/68G01S7/417G06N3/084G06N3/048G06N3/045
Inventor 陈璞花孙杰焦李成刘芳古晶李玲玲刘红英唐旭
Owner XIDIAN UNIV
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