The signal subspace decomposition method for extracting harmonic signal

Dengwei Wang, Yinghua Lu
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引用次数: 4

Abstract

The subspace decomposition method for extracting harmonic character is discussed. The theory of the cross-correlation matrix based MUSIC method in Gaussian white noise is analysed. A method of subspace decomposition is proposed for the purpose of suppressing noise interference and increasing the ability of recognizing targets and multiple signal classification, an algorithm of harmonic retrieval, was introduced to extract harmonic frequencies. Then the frequency of harmonics is estimated by setting threshold in MUSIC power spectrum curve. The simulation proves the method is correct and feasible
采用信号子空间分解法提取谐波信号
讨论了提取谐波特征的子空间分解方法。分析了高斯白噪声下基于互相关矩阵的MUSIC方法的原理。为了抑制噪声干扰,提高目标识别和多信号分类能力,提出了一种子空间分解方法,并引入了谐波检索算法提取谐波频率。然后通过设置MUSIC功率谱曲线的阈值来估计谐波的频率。仿真验证了该方法的正确性和可行性
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