最优冗余线阵欠定信号双重构DOA估计方法

doi:10.12305/j.issn.1001-506X.2023.01.07

Abstract

Abstract:

In order to solve the problem that the minimum redundancy array is hard to be applied in array design, a novel optimal redundancy array with similar performance is designed and fast covariance vector sparse reconstruction (FCVSR) based on double reconstruction is proposed to achieve underdetermined direction of arrival (DOA) estimation. Firstly, according to the optimal solution in convex optimization, fast Toeplitz covariance matrix reconstruction is achieved with high precision. Then, based on the proposed covariance vector sparse representation model, underdetermined DOA estimation is achieved. Simulation results show that the optimal redundancy array has lower mutual coupling effect and higher precision performance than the other sparse linear array, while the proposed algorithm has higher estimation accuracy than the existing methods.

Key words: direction of arrival (DOA) estimation, optimal redundancy array, sparse reconstruction

CLC Number:

TN971

Geng WANG, Hao LI, Yi HE, Mingyue FENG, Changxiao CHEN. Underdetermined DOA estimation of optimal redundancy array via double reconstruction[J]. Systems Engineering and Electronics, 2023, 45(1): 49-55.

Figures/Tables 5

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References 23

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阵元数S	阵列孔径	阵元数S	阵列孔径
3	3d	11	43d
4	6d	12	50d
5	9d	13	58d
6	13d	14	68d
7	17d	15	80d
8	23d	16	91d
9	29d	17	101d
10	36d	-	-

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Underdetermined DOA estimation of optimal redundancy array via double reconstruction

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