Two-Dimensional DOA Estimation in Compressed Sensing with Compressive-Reduced Dimension--MUSIC

作者: Weijian Si , Xinggen Qu , Lutao Liu , Zhiyu Qu

DOI: 10.1155/2015/792181

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摘要: This paper presents a novel two-dimensional (2D) direction of arrival (DOA) estimation method in compressed sensing (CS) to remove the failure problem and achieve superior performance. The proposed separates steering vector into two parts construct corresponding noise subspaces by introducing electric angles. Then, angles are estimated based on constructed subspaces. In order estimate azimuth elevation terms estimates angles, arc-tangent operations exploited. is one-to-one function allows value argument be larger than unity so that never fails. can avoid pair matching reduce computational complexity extend number snapshots improve Simulation results show occurrence has performance as compared existing methods.

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