A Fast Parameter Estimation Approach for Coherently Distributed Source

In this paper, we consider the problem of estimating the parameters- the central directions of arrival (DOA) and angular spread of distributed source by one-dimension searching algorithm. The central DOA and angular spread are decoupled based on deduced Schur-Hadamard product steering vector. And then a second order statistics is proposed to estimate the central DOA. Angular spread is estimated by beamforming method sequently. The proposed algorithm can give effective parameter estimation, low computational cost and sufficient robustness. Simulations clearly demonstrate that the algorithm is not only effective, but also enjoys better performance.