摘要
雷达生命信号是微弱信号,常常淹没在噪声中,这些杂波噪声具有非平稳随机性,有效去噪是对有用信号提取和分离前的必要手段。本文完善了连续波雷达生命信号的理论模型,采用提升小波变换,通过比较不同阈值函数的去噪效果,确定最佳阈值函数。结果表明:利用提升小波变换、采用一种新型的改进软阈值函数去噪技术,信号的信噪比(SNR)和均方误差(MSE)均优于传统去噪方法。
As the radar life signal is weak, it is often submerged in the noise. Because of non-stationaryand randomicity of these clutter signals, it is necessary to denoise efficiently before extractingand separating useful signals. This study improves the radar life signal＇s theoreticalmodel of the continuous wave, processes de-noising by introducing lifting wave transform and determinesthe best threshold function through comparing the de-noising effects of different thresholdfunctions. The result indicates that both SNR and MSE of the signal are better than the traditionalones by using lifting wavelet transform and combining with a newly improved method forsoft threshold function de-noising.
出处
《西安理工大学学报》
CAS
北大核心
2016年第3期283-289,294,共8页
Journal of Xi'an University of Technology
基金
国家自然科学基金资助项目(11502198)
关键词
雷达生命信号
理论模型
提升小波变换
阈值去噪
改进软阈值函数
radar life signal
theoretical model
lifting wavelet transform
threshold de-noising
improved soft threshold function
