基于小波变换低信噪比下的雷达目标提取  

Detection of Low Signal-noise Ratio Target Based on Wavelet Transform

作　　者：行正世[1] 谢永亮[1] 刘正奇[1] 

机构地区：[1]海军蚌埠士官学校,安徽蚌埠233012

出　　处：《现代雷达》2015年第5期47-48,70,共3页Modern Radar

摘　　要：小波变换作为一种多分辨分析的有效工具,在提取弱信号方面具有独到的优势。文中针对低信噪比下弱目标信号检测这一难点,提出了一种基于小波变换的提取方法,将信号中不同频率的信号分解到不同层的小波系数项及尺度平滑项上,并提取细节层上信噪比最大、回波最显著的一层进行重构和杂波抑制,该方法能有效地抑制强噪声并检测出目标。As a multi-distinguishable analyzing method, wavelet transform is good at weak radar signal detection. According to the difficulty of weak radar signal deteetion, a new method based on wavelet transform is presented. The different frequency signal is decomposed to different wavelet level, then signal is reconstructed and the clutter is restrained based on the level of maximal signal- noise ratio. The results show that the algorithm can reasonably reduce the strong noise and detect the target effectively.

关 键 词：小波变换 低信噪比 目标提取 MALLAT算法 

分 类 号：TN957.51[电子电信—信号与信息处理]