Super-Resolution Direction-of-Arrival Estimation via Blind Signal Separation Methods

In this paper, we present a novel high-resolution DOA estimation method based on second-order blind signal separation (BSS) techniques. In this approach, unlike other high-resolution methods such as MUSIC, finding DOA's doesn't involve searching for peak values in the estimated spectrum. Furthermore, in this algorithm, considering a uniform linear array (ULA), the angular distance between two sources is multiplied by L - 1: L is the number of antenna elements in the array. Therefore, the proposed algorithm exhibits excellent resolution property compared to other techniques. Moreover, BSS techniques enable this approach to carry out source association along with DOA estimation. Here, we introduce the proposed algorithm and define the corresponding probability of resolution (PR). Simulation results demonstrate the superiority of the presented approach in comparison with the existing methods such as MUSIC.