Radar emitter signal recognition based on time-frequency analysis

The extraction of radar emitter identification is very important to distinct the correct target. Up to now, many corresponding methods are proposed. But most of it has the problems of low recognition rate and not adapting to low SNR environment. In the paper, a novel method is proposed. The approach utilizes time-frequency analysis methods and singular value distribution(SVD) to extract the singular values of signal, making it be the feature vector., and neural network based classifiers were designed to identify radar emitter signals automatically. The experimental results show that it can achieve a satisfying accurate recognition rate when signal-to-noise rate varies in a large range. It is proved to be valid and practical approach.