小波包优化策略及辐射源信号识别应用研究  

Research on Optimization Strategy Based on Wavelet Packet and its Application to Radar Emitter Signal Recognition

作　　者：康安康[1] KANG Ankang(No.91404 Troops of PLA,Qinhuangdao 066000)

机构地区：[1]中国人民解放军91404部队,秦皇岛066000

出　　处：《舰船电子工程》2020年第11期153-157,共5页Ship Electronic Engineering

摘　　要：现代化电子对抗对雷达辐射源信号准确识别提出了更高要求,论文针对如何有效从复杂噪声背景下提取雷达辐射源信号问题,提出了基于小波包优化策略处理方法。原始信号经小波包分解多层次划分,提升了信号分解的时频分辨率。针对噪声先验知识未知情况下,阈值难以有效估计的难题,提出利用正交匹配追踪算法替代传统阈值处理方法以从高频系数中恢复信号稀疏性,达到信号提取的目的。通过仿真信号分析和雷达辐射源信号识别应用研究,结果表明,所提方法较小波包传统阈值方法对低信噪比条件下雷达辐射源信号识别率有了较大的提升。Modern electronic countermeasures put forward higher requirements for accurate recognition of radar emitter sig⁃nals.An optimization strategy based on wavelet packet is proposed to effectively extract radar emitter signal from complex noise back⁃ground.The original signal is divided into several levels by wavelet packet decomposition,which improved the time-frequency reso⁃lution of signal decomposition.Aiming at the problem that the threshold value is difficult to be estimated effectively when the prior knowledge of noise is unknown,the orthogonal matching tracking algorithm is proposed to replace the traditional threshold process⁃ing method in order to recovered the signal sparsity from the high-frequency coefficients and achieve the purpose of signal extrac⁃tion.Through the simulation signal analysis and radar emitter signal recognition application research,the results shows that the pro⁃posed method had a greater improvement on the recognition rate of radar emitter signal under the condition of low SNR than the tradi⁃tional wavelet packet threshold method.

关 键 词：小波包 压缩感知理论 雷达辐射源信号 降噪 

分 类 号：TN957.51[电子电信—信号与信息处理] O322[电子电信—信息与通信工程]