基于压缩感知的空域信号DOA估计

研究了基于压缩感知的空域信号DOA估计问题。针对空域信号DOA算法采样数据量大,在低信噪比情况下估计结果较差的问题,文中提出一种基于奇异值分解的多矢量欠定系统聚焦求解算法(SVD-MFOCUSS)。该算法在一定程度上克服了稀疏重构算法在低信噪比情况下的缺陷,具有较低的运算复杂度。实验仿真验证了该算法性能优于传统的DOA估计算法,且能够对相干信号进行有效的DOA估计。

Compressive Sensing Based Narrowband Signals DOA Estimation

The spatial signal DOA estimation problem is investigated based on compressive sensing in this pa- per. For the problem in DOA of spatial signals that the ordinarily algorithms need a large number of sampling and can＇t gain ideal effect in condition of low SNR. A multi-vectors focal undetermined system solver （MFOCUSS） DOA algo- rithm based on singular value decomposition in proposed in this paper. The algorithm overcomes the defect that sparse reconstruction algorithms cannot be used in a low SNR case, and has a lower computational complexity. Experimental simulations show that the presented algorithm in this paper performs better than traditional DOA algorithms for signals with any coherence.