Angle estimation via a computationally efficient SSF method

A computationally efficient method of signal subspace fitting (SSF) for angle estimation is proposed in this paper. Given the training data of one desired signal, the proposed method finds direction-of-arrival (DOA) parameters of all signals with much lower computational complexity than the classical weighted subspace fitting (WSF) method. Simulations are given to show that the proposed method provides the comparable estimation accuracy with the weighted subspace fitting estimator for uncorrelated and coherent signals.