Two-Dimensional DOA Estimation with Modified Parallel Coprime Linear Sub-Arrays

Abstract

Two dimensional (2-D) direction of arrival (DOA) estimation is a fundamental problem in array signal processing with wide range of applications. In this paper, an approach to 2-D DOA estimation with a modified parallel coprime linear subarrays using MUSIC algorithm and least squares is proposed. A virtual difference co-array is synthesized by vectorizing the crosscovariance matrix of sub-array data. In the proposed method, the 2-D DOA estimation problem is decomposed as two one dimensional (1-D) DOA estimation problems in which azimuth and elevation DOAs are estimated and automatically paired using MUSIC and Least Squares (LS). Simulation results are presented to verify the performance of the proposed method and the improvements resulting from the proposed array geometry.