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Comparison of Performance of Antenna Arrangements for Estimating the Number of Partial Discharge Sources Using Multichannel Blind Deconvolution

机译:使用多通道盲卷积估算局部放电源数量的天线布置性能的比较

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We propose a method to estimate the number of partial discharge sources in multipath environment using the multichannel blind deconvolution method called the super-exponential deflation method. Blind deconvolution is a method of recovering transmitted signals from only observed signals. The deflation approach can extract a source signal which is non-Gaussian from the observed signals one by one. The deflation approach is repeated until all non-Gaussian signals are extracted, in which case the input signals become close to Gaussian noise. The eigenvalues of the spatial correlation matrix of the input signals indicate whether non-Gaussian signals are present or absent in the input signals. Thus, the proposed method estimates the number of sources by repeating the signal extraction and analyzing the eigenvalues using the criterion function to distinguish the presence or absence of the source signals in the observed signals. Appropriate antenna arrangement is an important factor in the effective separation of source signals. The aim of this study is to compare performance of antenna arrangements for estimating the number of PD sources.
机译:我们提出了一种方法来估计多路环境中的局部放电源的数量,使用称为超指数放气法的多通道盲卷积法。盲解卷积是一种从观察到的信号中恢复发送信号的方法。通货紧缩方法可以将来自观察到的信号的非高斯的源信号提取。重复通货紧缩方法,直到提取所有非高斯信号,在这种情况下,输入信号变得靠近高斯噪声。输入信号的空间相关矩阵的特征值表示输入信号中是否存在非高斯信号。因此,所提出的方法通过重复信号提取并使用标准功能分析信号提取来估计源的数量以区分观察信号中的源信号的存在或不存在。适当的天线布置是源信号有效分离的重要因素。本研究的目的是比较天线布置的性能以估计PD源的数量。

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