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,将会产生位移量极小的Doppler频移,并且回波信号将会淹没在杂波噪声中,在SCR(low singnal-clutter-ratio)环境下,雷达不可能发现目标.由于小波变换在智能信号处理中具有良好地表征时频域信号局部特征的能力,提出基于小波变换的生命信号处理算法,实验结果表明,算法在进行杂波滤除、信号检测和提取方面具有良好的性能.
The detection of life signal under strong clutter produced by stationary objects such as wall was studied. Under the circumvents of SCR, radar can not detect the target because the produced Doppler frequency shift is very small and the echo signal is submerged into the clutter noise. Based on the fatct that wavelets have the capability of well presenting the local character of time-frequency signal processing, the scheme was put forward to utilize wavelets to fdter the clutter noise. The test results show that it can detect the pick-up signal effectively.
出处
《包头钢铁学院学报》
2006年第4期335-338,共4页
Journal of Baotou University of Iron and Steel Technology
关键词
SCR
MTD
DWT
多分辨率
小波重构
signal-lyelutter-ratio
moving-target-deteeton
discrete wavelet transform
multi-resolution
wavelet-reconstructed
