稳定噪声下基于ESPRIT方法的谐波谱估计

Wu Liang-dan, Luo Jing, Zha Dai-feng
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引用次数: 1

摘要

传统的谐波谱估计是在噪声子空间矢量为高斯分布的条件下发展起来的,但作为分数阶低阶稳定分布的二阶统计量的方差是无穷大值。本文简要介绍了α稳定分布的统计特性,通过对分数阶p阶相关的定义分析了分数阶相关矩阵结构,在传统ESPRIT方法的基础上提出了一种新的α稳定噪声条件下的频率估计方法。仿真结果表明,该方法比传统的ESPRIT具有更强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spectrum estimation of harmonics based on the ESPRIT method under alpha-stable noise
Traditional spectrum estimation of harmonics has been developed under the condition that the sub-space vectors of noises are Gaussian distributed, but the variance which is the second order statistics of fractional lower order stable distribution is infinite value. This paper briefly introduce the statistical characteristics of alpha stable distribution, analyses the fractional order correlation matrix structure through the definition of the fractional p-order correlation, proposes a new method of frequency estimation under alpha-stable noise conditions based on the traditional ESPRIT method. The simulation results show that the proposed method is more robust than the traditional ESPRIT.
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