A generalized formulation for harmonic retrieval in correlated noise

H. Naseri, Mário Costa, V. Koivunen
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引用次数: 9

Abstract

In this paper we develop a generalized formulation for harmonic retrieval in correlated noise. Well-known spatial smoothing-based ESPRIT and the Matrix Pencil methods are important special cases of the proposed formulation. The connection between these methods is established analytically. The proposed generalized formulation is applicable to single-snapshot scenarios with arbitrary noise covariance matrix. Moreover, a numerical study is included showing that the Matrix Pencil method is robust to mismodeling of the noise covariance matrix.
相关噪声中谐波恢复的广义公式
本文提出了相关噪声中谐波恢复的一个广义公式。众所周知的基于空间平滑的ESPRIT和矩阵铅笔方法是提出的公式的重要特例。分析地建立了这些方法之间的联系。提出的广义公式适用于具有任意噪声协方差矩阵的单快照场景。此外,数值研究表明,矩阵铅笔法对噪声协方差矩阵的错误建模具有较强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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