Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar

作者：Wang, Xianpeng; Wang, Wei^*; Li, Xin; Liu, Qi; Liu, Jing

来源：Sensors (Switzerland), 2016, 16(4): 539.

DOI：10.3390/s16040539

• MIMO radar
• DOA estimation
• noncircular signal
• sparse representation
• reweighted l(1) norm penalty

In this paper, a novel sparsity-aware direction of arrival (DOA) estimation scheme for a noncircular source is proposed in multiple-input multiple-output (MIMO) radar. In the proposed method, the reduced-dimensional transformation technique is adopted to eliminate the redundant elements. Then, exploiting the noncircularity of signals, a joint sparsity-aware scheme based on the reweighted l(1) norm penalty is formulated for DOA estimation, in which the diagonal elements of the weight matrix are the coefficients of the noncircular MUSIC-like (NC MUSIC-like) spectrum. Compared to the existing l(1) norm penalty-based methods, the proposed scheme provides higher angular resolution and better DOA estimation performance. Results from numerical experiments are used to show the effectiveness of our proposed method.

• 出版日期2016-4
• 单位哈尔滨工程大学