A novel beamspace algorithm for direction of arrival based on compressive sensing
作者： Yufeng Chen , Jianguo Huang , Jing Han
DOI: 10.1109/ICOSP.2012.6491684
关键词:
摘要: In this paper, the narrowband direction-of-arrival (DOA) estimation problem is studied in compressive sensing (CS) perspective. A novel approach to DOA beamspace for a uniform linear array proposed. compression perception model established making use of spatial sparsity. Then received data mapped from element-space beamspace. The MIP statistics property analyzed ensure proposed method possessing better reconstruction property. Simulation results demonstrate that, compared Multiple Signal Classification (MUSIC) algorithms and MUSIC algorithm, possesses higher resolution estimate performance; Dantzig Selector owns distinguish probability lightens computational burden condition low SNR scenario.
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