A High-Precision Two-Dimensional DOA Estimation Algorithm with Parallel Coprime Array

Recently, compressed sensing algorithms, including convex optimization and greedy algorithm, are considered as a new development for direction of arrival (DOA) estimation. For the problem of two-dimensional (2-D) DOA estimation, the existing convex optimization-based methods are usually limited by their computational complexity, while the greedy algorithm-based estimation is subjected to its low estimation accuracy. In the current paper, we propose a new 2-D DOA estimation scheme with parallel coprime array. We proposed a modified orthogonal matching pursuit method for the parallel coprime array, which transforms the 2-D DOA estimation into one-dimensional (1-D) DOA estimation to reduce the computation complexity. In addition, the proposed estimation scheme makes full use of the cross-correlation information of the received signal and combines the advantages of the coprime array to achieve a much higher precision with fewer array elements. The simulation results demonstrate the superiority of the proposed algorithm.