A fast DOA tracking algorithm based on the extended Kalman filter

Many direction of arrival (DOA) tracking algorithms suffer heavy computational complexity due to their dependence on the sample covariance matrix. We propose a new DOA tracking algorithm that uses the extended Kalman filter (EKF). Because the proposed algorithm is based on a single snapshot, it requires low computational complexity. Our simulation illustrates that the proposed algorithm performs better than other methods.