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DOA Estimation of Coherently Distributed Sources Based on BlockSparse Constraint
Lu GAN Xiao Qing WANG Hong Shu LIAO
Publication
IEICE TRANSACTIONS on Communications
Vol.E95B
No.7
pp.24722476 Publication Date: 2012/07/01 Online ISSN: 17451345
DOI: 10.1587/transcom.E95.B.2472 Print ISSN: 09168516 Type of Manuscript: LETTER Category: Antennas and Propagation Keyword: direction of arrival, distributed source, compressed sensing, blocksparse,
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Summary:
In this letter, a new method is proposed to solve the directionofarrivals (DOAs) estimation problem of coherently distributed sources based on the blocksparse signal model of compressed sensing (CS) and the convex optimization theory. We make use of a certain number of point sources and the CS array architecture to establish the compressive version of the discrete model of coherently distributed sources. The central DOA and the angular spread can be estimated simultaneously by solving a convex optimization problem which employs a joint norm constraint. As a result we can avoid the twodimensional search used in conventional algorithms. Furthermore, the multiplemeasurementvectors (MMV) scenario is also considered to achieve robust estimation. The effectiveness of our method is confirmed by simulation results.

