一种采用协方差矩阵稀疏表示的DOA估计方法

doi:10.3969/j.issn.1001-2400.2015.01.006

Abstract

Abstract:

A direction of arrival (DOA) estimation method based on a new sparse representation model of the covariance matrix is proposed. Without requiring the prior-knowledge on the noise level, the proposed method only utilizes partial information on the covariance matrix for the DOA estimation and provides robustness to noise at the cost of a tiny aperture loss. Although the proposed method is based on the statistical information on samples (i.e., covariance matrix), its principle is different from that of the traditional high-resolution DOA estimation methods (e.g., MUSIC, CAPON). The proposed method can effectively distinguish the signal sources with any coherence without decorrelation processing.

Key words: sparse representation, direction-of-arrival estimation, high-resolution, covariance matrix, multiple measurement, correlative signal

XIE Hu;FENG Dazheng;YUAN Mingdong. DOA estimation method by utilizing sparse representation of the covariance matrix[J].J4, 2015, 42(1): 35-41.

References

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DOA estimation method by utilizing sparse representation of the covariance matrix

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