Broadband underdetermined direction of arrival estimation based on two level nested array

被引：0
|
作者：
Wu C.-X. [1 ]
Zhang M. [1 ]
Wang K.-R. [1 ]
机构：
[1] Electronic Engineering Institute of PLA, Hefei
来源：
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2017年 / 51卷 / 05期
关键词：
Array signal processing; Broadband; Continuous sparse recovery; Direction of arrival estimation; Nested array;
D O I：
10.3785/j.issn.1008-973X.2017.05.023
中图分类号：
学科分类号：
摘要：
A novel broadband direction of arrival (DOA) estimation algorithm based on two level nested array was proposed to achieve broadband underdetermined DOA estimation. The dimension of the array received data was reduced by using spatial frequencies. Spatial frequencies continuous sparse recovery model was constructed by using the spatial sparseness of the spatial frequency. The high resolution estimation of spatial frequencies was achieved with primal dual approach and root finding. The frequency domain covariance matrix was constructed.The spatial frequencies and frequencies were matched by using the sparse recovery of the sum of larger eigenvectors, which are coming from the frequency domain covariance matrix's eigen value decomposition(ED).Then DOA estimation can be obtained.Results show that the number of sources by the proposed algorithm is larger than the number of actual sensors. Off-grid effects caused by discretizing this range onto a grid in traditional sparse recovery can be neglected, thus improving precision and resolution of DOA estimation. © 2017, Zhejiang University Press. All right reserved.
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页码：1016 / 1023
页数：7
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