Compressed Sensing based Low Complexity 2D-DOA Estimation by Separation and Pair-Mathcing Approach

Abstract

Compressed sensing (CS) based direction-of-arrival (DOA) estimation has the advantage of high resolution and no need for wave number estimation. Although it is applicable for 2 dimensional estimation, the computation complexity is severe problem due to its increased number of array elements and search domain. This letter proposes a separation approach and pair-matching to resolve the above drawback. Since the CS can extract the original signal source, the pair-matching can be simply attained by cross correlation between source estimates of vertical and horizontal arrays. Computer simulation verifies the fundamental effectiveness of the proposed method.