Off-Grid DOA Estimation Based on Analysis of the Convexity of Maximum Likelihood Function

• DOI: 10.1587/transfun.e98.a.2705
• Publication Date: 2015-11-30T17:15:16Z
• Authors: Liang LIU; Ping WEI; Hong Shu LIAO
• Keywords: Robustness; Convexity; Direction of arrival

Spatial compressive sensing (SCS) has recently been applied to direction-of-arrival (DOA) estimation, owing its advantages over conventional versions. However the performance of (CS)-based estimation methods degrades when true DOAs are not exactly on discretized sampling grid. We solve off-grid DOA problem using deterministic maximum likelihood (DML) method. In this letter, basis convexity DML function, we propose a computationally efficient algorithm framework for estimation. Numerical experiments demonstrate superior proposed in terms accuracy, robustness and speed.