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Journal of Electrical and Computer Engineering
Volume 2015, Article ID 287915, 8 pages
Research Article

DOA Estimation Based on Sparse Signal Recovery Utilizing Double-Threshold Sigmoid Penalty

Department of Electronics and Information, Northwestern Polytechnical University, Xi’an, Shaanxi 710129, China

Received 14 September 2015; Revised 3 November 2015; Accepted 10 November 2015

Academic Editor: John N. Sahalos

Copyright © 2015 Hanbing Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper proposes a new algorithm based on sparse signal recovery for estimating the direction of arrival (DOA) of multiple sources. The problem model we build is about the sample covariance matrix fitting by unknown source powers. We enhance the sparsity by the double-threshold sigmoid penalty function which can approximate the norm accurately. Our method can distinguish closely spaced sources and does not need the knowledge of the number of the sources. In addition, our method can also perform well in low SNR. Besides, our method can handle more sources accurately than other methods. Simulations are done to certify the great performance of the proposed method.