Sparsity-based radar signal sorting method in electronic support measures system

In view of low radar signal sorting accuracy in electronic support measures system (ESM), a new sparsity-based radar signal sorting method is put forward in this paper. Firstly, the pulse description words (PDW) of radar pulse sequence are analyzed and normalized, and then represented as a sparse linear combination of the sparse representation dictionary. Secondly, the sparse solution is calculated by solving an optimization problem under L1 norm. Finally, the linear correlation coefficients between the sparse solutions of test sample and standard samples are calculated and compared to determine the classification of radar signal. The experiment result showed that the radar signal sorting accuracy of this method is 96%, and the performance of the method is superior to other radar signal sorting algorithms. So this sparsity-based radar signal sorting method has high accuracy and strong anti-noise interference ability.