Estimation of Directions of Arrival by Matching Pursuit (EDAMP)

We propose a novel system architecture that employs a matching pursuit-based basis selection algorithm for directions of arrival estimation. The proposed system does not require a priori knowledge of the number of angles to be resolved and uses very small number of snapshots for convergence. The performance of the algorithm is not affected by correlation in the input signals. The algorithm is compared with well-known directions of arrival estimation methods with different branch-SNR levels, correlation levels, and different angles of arrival separations.