Compressive Sensing based DOA Estimation for Multi-path Environment

Abstract

Direction of arrival (DOA) estimation is a key point in Array signal processing. It plays an important role in radar, sonar, wireless communications. The concept of Compressive Sensing (CS) boosted the performance and analysis of the DOA estimation. One of the efficient methods for finding DOA of interested signal is by using CS based recovery algorithm Orthogonal Matching Pursuit (OMP). The extension of this concept to 2-Dimensional, and Multi-path Environment (in presence of Interference) is proposed in this paper. The performance analysis of OMP and MUSIC algorithm in multi-path DOA is discussed and the simulation results shows the better accuracy of OMP over other technique.