摘要
主要研究在墙等固定物体强杂波背景下,对人体心跳、呼吸所产生的多普勒频移信号的检测和提取,由于生命信号是一种微弱的低速目标信号,回波信号将会湮没在杂波噪声中。基于以上考虑,提出利用小波变换的多分辨率特性,选择合适的小波基,采用Mallat算法,主要完成在噪声背景下对生命信号的提取、抑制杂波、提高信噪比3个方面的研究,通过对目标信号的分解、通道提取以及目标信号重构,能更加精确、有效地提取目标信号,实时性和应用性更强。
The paper studies the detection of life signal under strong clutter which produced by stationary objects such as wall. As a result of life signal is low velocity target and echo signal is submerged in clutter noise. Based on characters of multi-resolution of wavelet translation and reasonable wavelet cores selec- tion, and Mallat scheme. The paper deals with life-signal extracting, clutter suppression and SNR improvement under strong clutter noise. Through life-signal decomposition, extraction and reconstruction are all completed, these opertios produce precise results and experiment results show the method to be effectual and practical.
出处
《电子工程师》
2005年第10期48-50,56,共4页
Electronic Engineer
关键词
小波变换
生命信号提取
信号重构
MALLAT算法
多分辨率
wavelet-translation, life-signal extraction, signal-reconstructed, mallat-seheme, multi-resolving capability
