Performance analysis of the Particle Swarm Optimization algorithm when applied to direction of arrival estimation

Direction of arrival (DOA) estimation is a well known problem involved in different applications. The latest of these applications have greater constraints which make necessary new efforts in estimating the DOA with fewer snapshots. In that sense, this paper presents an iterative method based on particle swarm optimization that solves the problem with a single snapshot. The performance of this algorithm is analyzed and shown with numerical results under different scenarios. Conclusions are also provided.