Fast communication: A sparse recovery algorithm for DOA estimation using weighted subspace fitting

Authors:
Nan Hu;Zhongfu Ye;Dongyang Xu;Shenghong Cao
Affiliations:
Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China and National Engineering Laboratory for ...;Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China and National Engineering Laboratory for ...;Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China and National Engineering Laboratory for ...;Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China and National Engineering Laboratory for ...
Venue:
Signal Processing
Year:
2012

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Abstract

A new algorithm involving sparse recovery is proposed to address the problem of direction-of-arrival (DOA) estimation using weighted subspace fitting (WSF). The proposed algorithm proves to be a modified version of @?"1-SVD by using an optimal weighting matrix, wherein a scheme of regularization between sparsity penalty and subspace fitting error is also given for all SNR range. Numerical simulations verify the efficiency of the proposed algorithm and illustrate the performance improvement in low SNR.