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基于小波变换和Prony算法的间谐波参数辨识
引用本文:丁屹峰,程浩忠,孙毅斌,严健勇.基于小波变换和Prony算法的间谐波参数辨识[J].上海交通大学学报,2005,39(12):2083-2087.
作者姓名:丁屹峰  程浩忠  孙毅斌  严健勇
作者单位:上海交通大学,电气工程系,上海,200030;上海市区供电公司,上海,200080
基金项目:高等学校优秀青年教学科研奖励计划资助项目
摘    要:现场采样获得的间谐波信号通常叠加着随机噪声,如果不对噪声进行有效消除,其信号特征信息的提取将会受到很大影响.通过对小波软阈值去噪方法的探讨,对间谐波信号进行去噪预处理,并采用现代谱估计Prony方法辨识间谐波参数,提取信号特征信息.计算结果表明,采用小波软阈值方法对间谐波信号进行去噪预处理,有利于提高其参数辨识的准确性.

关 键 词:小波变换  间谐波  信号分析  参数辨识  小波软阈值  Prony算法  去噪
文章编号:1006-2467(2005)12-2083-05
收稿时间:2005-01-10
修稿时间:2005年1月10日

The Parameter Identification of Interharmonics Based on Wavelet Transform and Prony Algorirhm
DING Yi-feng,CHENG Hao-zhong,SUN Yi-bin,YAN Jian-yong.The Parameter Identification of Interharmonics Based on Wavelet Transform and Prony Algorirhm[J].Journal of Shanghai Jiaotong University,2005,39(12):2083-2087.
Authors:DING Yi-feng  CHENG Hao-zhong  SUN Yi-bin  YAN Jian-yong
Institution:1. Dept. of Electrical Eng., Shanghai Jiaotong Univ., Shanghai 200030, China; 2. Shanghai Urban Power Supply Company, Shanghai 200080
Abstract:Interharmonics acquired at actual working spot usually includes large amount of stochastic noise. Extraction of the interharmonics signal characteristic information will be influenced greatly if the signal is not effectively denoised. Based on the discussion of the wavelet soft-threshold method, the interharmonics signal is denoised in pretreatment. Meanwhile, the parameters of interharmonics are identified by the Prony method and the characteristic information is extracted. The analysis results show that the signal denoising applying wavelet method is in favor of enhancing the analysis accuracy of its parameter identification.
Keywords:wavelet transformation  interharmonics  signal analysis  parameter identification wavelet  soft-threshold  Prony algorithm  denoising
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