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.