一种新的稀疏重构的DOA估计算法

doi:10.3969/j.issn.1001-2400.2018.05.003

Abstract

Abstract:

In order to improve the DOA estimation accuracy of far-field narrow-band signals with a low signal-to-noise ratio or few snapshots, a new weighted algorithm based on -norm is proposed. First, the covariance matrix of the output data of the array is generated by using the forward-backward spatial smoothing technique. Second, the cepstrum coefficient vector is constructed in the spatial spectrum function of the Modified Capon(MCapon). The weighted matrix in accordance with the weighted-norm is obtained. Finally,the SVD algorithm is used to reduce the dimensionality of the received data to obtain the model with the weighted-norm constraint based on sparse reconstruction. The algorithm makes spurious peaks in spatial spectrum suppressed, increases robustness and improves the DOA estimation performance with a low signal-to-noise ratio (SNR) or few snapshots without decorrelation processing.

Key words: direction of arrival estimation, sparse reconstruction, Capon algorithm, weighted , norm

WEI Juan;JI Yongxiang;NIU Junru. Novel algorithm for DOA estimation based on the sparse reconstruction[J].Journal of Xidian University, 2018, 45(5): 13-18.

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Novel algorithm for DOA estimation based on the sparse reconstruction

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