A Sparse Representation-Based DOA Estimation Algorithm With Separable Observation Model

作者：Zhao, Guanghui^*; Shi, Guangming; Shen, Fangfang; Luo, Xi; Niu, Yi

来源：IEEE Antennas and Wireless Propagation Letters, 2015, 14: 1586-1589.

DOI：10.1109/LAWP.2015.2413814

• Direction-of-arrival (DOA)
• planar array
• sparse representation

Conventional sparse representation (SR)-based direction-of-arrival (DOA) estimation algorithms suffer from high computational complexity. To be specific, a wide angular range and a large-scale array will enlarge the scale of the spatial observation matrix, which results in huge computation cost for DOA estimation. In this letter, a new efficient DOA estimation algorithm based on the separable sparse representation (SSR-DOA for short) is derived, in which a separable structure for spatial observation matrix is introduced to reduce the complexity. Besides, a dual-sparsity strategy is engaged to make the algorithm tractable. Experimental results show that high resolution performance can be obtained efficiently by the proposed algorithm.

• 出版日期2015
• 单位西安电子科技大学