An Intelligent Signal Processing Method of Radar Anti Deceptive Jamming

摘要：

In order to implement the radars 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.

关键词： Signal processing Radar ECCM Time-frequency analysis Deceptive jamming Kohonen network

作者: LI Jian-xun LV Qiang GUO Jian-ming XUE Chun-hua

作者单位: Academy of Armored Forces Engineering, Beijing Beijing Radar Research Institute Lab 1, Mail box 2862, Beijing, Li Jianxun, 100085

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）