摘要
为了提高雷达的抗干扰能力,有针对性地合成最有效的抗干扰措施,提出了一种基于时频图像特征提取的欺骗干扰识别方法。该方法对雷达接收信号进行时频分析,根据时频图像分布的特点,提取时频域可分离度和三阶Renyi熵2个有效特征参数,将2个特征参数用于雷达接收信号的自动干扰识别。仿真结果验证了算法的有效性和稳定性,为后续抗干扰措施的选取提供了先验信息。
In order to improve the anti-jamming ability of radar and synthesize the most effective anti-jam- ming measures in accordance with, a jamming recognition method is proposed based on SPWVD features analyzed. In this method, SPWVD distribution of received radar signal is given firstly, and feature extrac tion of radar active deception jamming by separating degree in time-freqeney domain and Renyi entropy is put forward based on its distribution difference. Finally, these two features are used in jamming recogni- tion. The simulation results show that the technique is effective and stable in recognizing active deception jamming signal. And by doing so this provides the selections of follow-up anti-jamming measures with a priori information.
出处
《空军工程大学学报(自然科学版)》
CSCD
北大核心
2016年第1期56-59,共4页
Journal of Air Force Engineering University(Natural Science Edition)
基金
航空基金(2013096001)
关键词
有源欺骗干扰
SPWVD
特征提取
干扰识别
active deception jamming
SPWVD
feature extraction
jamming recognition