基于Savitzky-Golay滤波的雷暴天气大气电场信号分析  

Analysis of Atmospheric Electric Field Signal in Thunderstorm Weather Based on Savitzky-Golay Filtering

作　　者：李卫平 何静[1] 曾祥平 封隆永 LI Weiping;HE Jing;ZENG Xiangping;FENG Longyong(Chongqing Lightning Protection Center,Chongqing 401147,China)

机构地区：[1]重庆市防雷中心,重庆401147

出　　处：《微型电脑应用》2023年第10期14-17,共4页Microcomputer Applications

摘　　要：基于重庆市南川区金佛山野外雷电观测场2021年大气电场数据及重庆市ADTD闪电定位资料,利用Savitzky-Golay卷积平滑滤波、快速傅里叶变换等信号处理方法对大气电场信号从时域、频域两方面进行分析。分析结果表明:选取窗口宽度n=33,拟合阶次k=3时,滤波效果较为理想;大气电场信号能量主要存在于0~0.05 Hz的低频部分;地闪是引起大气电场突变的重要因素,残差信号不能简单地作为噪声予以去除,选取雷暴天气时不同波形的大气电场数据进行滤波得到的残差信号与ADTD定位数据作对比,验证了其中包含较为丰富的闪电信息。Based on the 2021 atmospheric electric field data of Jinfoshan lightning observation field in Nanchuan District and the ADTD data of Chongqing,we analyze the atmospheric electric field signal in time domain and frequency domain by signal processing methods such as Savitzky-Golay filtering and fast Fourierian transform.The results show that when the window width n=33 and the fitting order k=3,The filtering effect is relative ideal.The signal energy of atmospheric electric field mainly exists in the low frequency part of 0~0.05 Hz;CG lightning is an important factor causing sudden change of atmospheric electric field,and the residual signal can not be simply removed as noise.Compared the residual signal obtained by filtering the atmospheric electric field data of different waveforms in thunderstorm weather and the ADTD data,it is proved that the signals contain rich information of CG lightning.

关 键 词：大气电场 S-G滤波 频谱分析 残差 

分 类 号：TP23[自动化与计算机技术—检测技术与自动化装置]