基于提升小波变换的雷达生命信号去噪技术  

Denoising Technology of Radar Life Signal Based on Lifting Wavelet Transform

作　　者：杨秀芳[1] 张伟[1] 杨宇祥[1] 

机构地区：[1]西安理工大学机械与精密仪器工程学院,陕西西安710048

出　　处：《光学学报》2014年第3期292-297,共6页Acta Optica Sinica

基　　金：陕西省教育厅科学研究计划(自然科学专项)(12JK0527)

摘　　要：对于噪声干扰严重、非线性、非平稳、多奇异点的微弱雷达生命信号而言,去噪是对有用信号进行分析前的必要手段。基于多普勒效应原理和雷达噪声的统计特性,建立了雷达生命信号的模型,分别用传统小波变换和提升小波变换对强噪声干扰下的生命雷达信号进行了去噪处理,结果表明被强噪声污染的雷达生命信号可以用传统小波变换的方法和提升小波变换法对其有效去噪,提升小波变换去噪效果优于传统小波变换去噪效果,其信噪比(SNR)和均方误差(MSE)两个性能指标均高于传统小波去噪。对雷达生命信号进行去噪处理时,使用的小波基函数是sym8,分解层数为3层。For the nonlinear, non-stationary and weak radar life signal with serious noise interference and multiple singularity points, denoising is the essential means before analyzing the useful signal. The radar life signal model is established based on the principle of Doppler effect and the statistical characteristics of noise. Wavelet transform and lifting wavelet transform are applied respectively on the radar life signal under strong noise background for denoising. The results show that for radar life signal under strong noise pollution, it is an efficient denoising method to use wavelet transform or lifting wavelet transform. The lifting wavelet transform denoising effect is better than traditional denoising methods of wavelet transform. The signal-to-noise ratio （SNR） and mean square error （MSE） are higher than those of traditional wavelet denoising. In the radar life signal denoising, the wavelet basis function is sym8 and the number of decomposition layers is 3.

关 键 词：信号处理 雷达生命信号去噪 提升小波变换 信噪比 均方误差 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]