天气雷达回波信号去噪中小波分析应用

天气雷达回波信号不可避免地包含了噪声，噪声的存在严重影响了对雷达回波信号的精确分析。为了提高雷达回波信号的信噪比，采用了近年来在数字信号处理领域极速发展的小波分析方法，通过试验分析确定小波基函数、分解层数、阈值和阈值量化方式。结果表明，小波分析去噪的方法能有效地抑制叠加在雷达回波信号上的噪声，去噪后的雷达回波信号信噪比明显提高，具有较高的实用价值。

Application of Wavelet Analysis in Denoising of Weather Radar Echo Signals

Radar echo signals inevitably contain noise, and the presence of noise seriously interferes with the accurate analysis of radar echo signals. In order to improve the signal to noise ratio of radar echoes, the wavelet analysis is used to determine the wavelet function, the number of decomposition levels, the thresholds, and threshold quantization through experimental analysis. The results show that the wavelet analysis denoising method can effectively suppress the noises superimposed on radar echo signals, and the signal to noise ratio of radar echoes significantly increased after denoising, which is highly applicable.