An Intelligent Signal Processing Method of Radar Anti Deceptive Jamming

摘要

In order to implement the radar's anti deceptive jamming, an intelligent signal processing method is proposed. The different features between deceptive jamming and target are analyzed based on the definition and principle of deceptive jamming firstly. Then, the Wigner-Ville Distribution (WVD) of radar echo in deceptive jamming is attained by time-frequency (T-F) analysis, and the feature extraction and classification are carried out with Kohonen self-organization feature map (SOFM) network. Finally, the intelligent signal processing model for radar anti deceptive jamming is completed. Compared with conventional MTD (Moving Target Detection) method, results of simulation show that the method can improve the target detection probability and resolve the problem of radar anti deceptive jamming.