基于小波包变换的雷达辐射源信号识别  

Radar Emitter Signals Recognition Based on Wavelet Packet Transform

作　　者：雷恒恒[1] 赵拥军[1] 韩旭[1] 张培峰[1] 

机构地区：[1]郑州信息科技学院,郑州450002

出　　处：《电子信息对抗技术》2010年第2期8-10,33,共4页Electronic Information Warfare Technology

摘　　要：为了提高雷达辐射源信号的正确识别率以满足现代电子对抗的需求,提出一种以小波包系数的能量比和标准差为特征的算法,并采用BP神经网络进行识别。仿真实验表明,该方法能在较低的信噪比条件下取得较好的识别率。To enhance accurate recognition rates of radar emitter signals to meet the requirements of modern electronic warfare, a novel method using the energy ratio and the square of the standard deviation of wavelet packet coefficient as feature is proposed. And the feature is recognized by using BP neural network. Simulation experiment results show that the proposed method could achieve good accurate recognition rate at low SNR.

关 键 词：雷达信号调制类型识别 小波包变换 BP神经网络 

分 类 号：TN971.1[电子电信—信号与信息处理]