基于多小波变换的电场变化仪信号去噪

Electric-field changes meter signal de-noising based on multi-wavelet transform

为更好地分析研究人工引雷的先导——回击过程中电场的变化情况,提出了一种基于多小波变换的雷电信号去噪方法。利用预滤波的方法对信号进行预处理,采用GHM多小波对快、慢天线雷电电场变化测量仪接收的雷电信号进行分析,利用自适应阈值实现噪声的去除。实验结果表明,基于GHM多小波软阈值法处理结果信噪比提高4%,硬阈值法信噪比提高12%,获取了较好的去噪效果,明显优于基于单小波的去噪方法。

For better analysis of the electric field changes in triggered lighting, a thunder signal de-noising method based on the multi-wavelet transform was put forward. The method of pre-filter was used for the pre-processing of signals, the electric field signals received by the electric-field change meter using GHM multi-wavelet were analyzed, and the noises in the light signals were eliminated by the adaptive threshold method. The results show that the de-noising method based on GHM multi-wavelet transform is better than that based on the traditional wavelet transform, with the SNR being improved by 4% using softthreshold and by 12% using hard-threshold.