基于小波变换和Prony算法的间谐波参数辨识

The Parameter Identification of Interharmonics Based on Wavelet Transform and Prony Algorirhm

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P rony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.

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.