基于直方图和小波网络的雷达信号识别方法  

A novel algorithm of radar signal recognition based on histogram and wavelet networks

作　　者：陶荣辉[1] 李合生[1] 韩宇[1] 陈惠连[1] 

机构地区：[1]中国工程物理研究院电子工程研究所,四川绵阳621900

出　　处：《电波科学学报》2005年第6期784-788,共5页Chinese Journal of Radio Science

基　　金：预研项目(No.421010103);中国工程物理研究院重大基金(No.2002Z0402);中国工程物理研究院科学技术基金(No.20050428)

摘　　要：信号识别是电子支援系统(ESM)的基础,作者在传统序列差分直方图的基础上,提出了基于小波网络对不同脉冲重复间隔(PRI)模式的雷达信号进行分类的新方法。仿真试验表明,该雷达信号分类算法具有收敛速度快、自适应能力强、结构简单等优点,并且该算法在脉冲有丢失或被噪声污染的情况下仍然有很高的识别概率。该算法在雷达对抗中具有一定的实用性。The signal recognition is the foundation of electronic support measures （ESM） system, a novel algorithm of radar signal recognition with different pulse repetition interval （PRI） modes, based on tradition sequences difference histogram and wavelet networks, is proposed in this paper. Numerical simulation results show that the proposed algorithm has some virtues such as fast convergence, better self-adaptive capability for new PRI mode, simple structure, and it has also better recognition rate with very many missing observations and contaminated pulses. The proposed algorithm mav have practicaitv in rndar countermeasures.

关 键 词：直方图 小波网络 脉冲重复间隔 

分 类 号：TN957.51[电子电信—信号与信息处理]