Phased array radar behavior identification method based on support vector machine SVM

Abstract

The invention discloses a phased array radar behavior identification method based on a support vector machine (SVM), and mainly solves the problems of incomplete summary of phased array radar behaviormodes and low identification precision in the prior art. According to the implementation scheme, the method comprises the following steps: 1) simulating and generating a data set of phased array radar airspace signals by using commercial software; 2) performing feature extraction on spatial domain signals of the phased array radar data set, and outputting the spatial domain signals in the form ofsignal feature vectors; 3) marking the category of the signal in a data set output in the form of a signal feature vector, and making a training set and a test set; 4) constructing a phased array radar behavior recognition cascaded support vector machine SVM model, and training the model by using the training set; and 5) sending the test set data into the trained model, and outputting a prediction behavior mode. According to the phased array radar behavior identification method, various behaviors of the phased array radar are fully summarized, the identification rate of the various behavior modes is improved, and the phased array radar behavior identification method can be used for phased array radar behavior identification in a complex electromagnetic environment.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a phased array radar behavior recognition method, which can be used in electronic intelligence reconnaissance, electronic support and threat warning systems. Background technique [0002] With the development of the electronic information field, electronic countermeasures play an important role in electronic intelligence reconnaissance, electronic support and threat warning systems, and phased array radar behavior recognition is an important link in electronic countermeasures. [0003] As the electromagnetic environment in electronic countermeasures becomes very complex, the number of radar radiation sources is large and the spatial distribution range is wide, which makes the signal aliasing in the time domain and frequency domain more and more. There are tens of thousands or even hundreds of thousands of radar signals appearing in a relatively short period of time, and...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this method is that it only recognizes the three working modes of the phased array radar, and the recognition model has a single structure, the feature processing is not sufficient, and there is still room for improvement in the recognition rate

However, the disadvantage of this method is that it only recognizes the three working modes of the airborne fire control radar, and the recognition method is more traditional, only from the envelope information for pattern recognition, and there is still room for improvement in the recognition rate. space

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