首页> 外文会议>2000 5th International Conference on Signal Processing Proceedings August 21-25, 2000, Beijing, China >Parameter Estimation of Sinusoidal Harmonic Embedded in Colored Noise: A New Cross-Spectral SVD-LS Approach with Cleared False Peaks of Spectral Estimation
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Parameter Estimation of Sinusoidal Harmonic Embedded in Colored Noise: A New Cross-Spectral SVD-LS Approach with Cleared False Peaks of Spectral Estimation

机译:嵌入有色噪声中的正弦谐波的参数估计:一种新的跨谱SVD-LS方法,该方法消除了谱估计的虚假峰

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摘要

The extended characteristic equation methods are widely used by most harmonic retrieval approaches, because they can effectively improve the spectral resolvign power of harmonic retrieval, and at the same time can also suppress colored noises. While the false peaks caused by these methods disturb seriously to distinguish the false peaks from the harmonic signal peaks. This paper has successfully solved the problem by studying the singular value decomposition (SVD) natures of the cross-correlation matrix. Simulation results show that this new cross-spectral SVD-LS (NCSVD-LS) approach can clear spectral false peaks.
机译:扩展的特征方程方法由于可以有效地提高谐波检索的频谱分辨能力,同时还可以抑制有色噪声,因此在大多数谐波检索方法中得到了广泛的应用。虽然由这些方法引起的伪峰严重干扰,以将伪峰与谐波信号峰区分开。本文通过研究互相关矩阵的奇异值分解(SVD)性质,成功解决了该问题。仿真结果表明,这种新的跨谱SVD-LS(NCSVD-LS)方法可以清除频谱虚假峰。

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