Two dimensional direction of arrival estimation for co-prime L-shaped array using sparse reconstruction

The maximum estimable number of sources of the traditional algorithms of Two Dimensional Direction-of-Arrival (2D-DOA) estimation have large amount of calculations, and the maximum estimable number of sources is strictly limited by the number of array elements. In this paper, with the co-prime L-shaped array, a sparse reconstruction method using the Khatri-Rao (KR) product is proposed. The 2D-DOA estimation is transformed into two 1D-DOA processes, and the parameters are automatically paired. The simulation results show that the proposed method can accurately handle more sources than physical sensors to improve the spatial resolution under small number of snapshots.