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

Xianpeng Wang; Wei Wang; Xin Li; Qi Liu; Jing Liu

doi:10.3390/s16040539

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

Sensors (Basel). 2016 Apr 14;16(4):539. doi: 10.3390/s16040539.

Authors

Xianpeng Wang¹, Wei Wang², Xin Li³, Qi Liu⁴, Jing Liu⁵

Affiliations

¹ College of Automation, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, China. wangxianpeng@hrbeu.edu.cn.
² College of Automation, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, China. wangwei407@hrbeu.edu.cn.
³ College of Automation, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, China. xinxin_forever@126.com.
⁴ College of Automation, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, China. lq_skyven@126.com.
⁵ College of Automation, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, China. angleliujing@126.com.

Abstract

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 l1 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 l1 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.

Keywords: DOA estimation; MIMO radar; noncircular signal; reweighted l1 norm penalty; sparse representation.

Publication types

Research Support, Non-U.S. Gov't