Parameter Estimation Algorithm for Coherently Distributed Source

A low-complexity estimation method is presented to estimate the parameter of coherently distributed source. The central direction of arrival (DOA) is estimated by proposed second-order statistics based on Schur-Hadamard product steering vector, and then angular spread are given by beamforming method. The method is a low-complex estimator that does not need a joint search in two-dimensional parameter space. And angular spread is included in the constraint, so it owns more robustness in estimating angular spread. The simulation results prove the effectiveness of our method.