DoA Estimation Based on Sparse Signal Recovery Utilizing Weighted 1 Norm

doi:10.13190/j.jbupt.2016.05.007

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 39 ›› Issue (5): 33-36,66.doi: 10.13190/j.jbupt.2016.05.007

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DoA Estimation Based on Sparse Signal Recovery Utilizing Weighted 1 Norm

ZHAO Ji-hong^1,2, MA Zhao-tian¹, QU Hua², WANG Wei-hua², LI Lei-lei¹

1. School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710121, China;
2. The School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710054, China

Received:2016-03-21 Online:2016-10-28 Published:2016-12-02

Abstract

Abstract: When l₁-SVD algorithm is used for direction of arrival (DoA) estimation with few snapshots and low signal noise ratio (SNR), there appear pseudo peaks in spatial spectrum, which lead to inaccurately DoA estimation results. To deal with this problem, the article proposes a DoA estimation method based on sparse signal recovery utilizing weighted 1 norm. Based on the sparse recovery, the weight vector is chosen from the signal subspace and received signal matrix is multiplied. Then the product between weights and elements in the result is made to get weighted 1 norm is taken as target function for minimization. Simulations demonstrate that the proposed algorithm could effectively restrain the pseudo peak and accurately estimate the DoA under the different snapshots, regularization parameter and SNR.

Key words: direction of arrival estimation, matrix pretreatment, sparse reconstruction, convex optimization

CLC Number:

TN929.53

ZHAO Ji-hong, MA Zhao-tian, QU Hua, WANG Wei-hua, LI Lei-lei. DoA Estimation Based on Sparse Signal Recovery Utilizing Weighted 1 Norm[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(5): 33-36,66.

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DoA Estimation Based on Sparse Signal Recovery Utilizing Weighted 1 Norm

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