An Algorithm for UCA Sources Parameter Estimate Based on Multistage Wiener Filters

A method for uniform circular array (UCA) sources parameters and sources number estimation based on multistage Wiener filters (MSWF) is proposed in this paper. The method proposed in this paper does not require the formation of the covariance matrix and its eigendecomposition or singular value decomposition, and relies on the forward recursion characteristic of MSWF. It can estimate azimuths, elevations and the numbers of the source at the same time, thereby having the advantage in precision and computational complexity. So the advantage of the presented method is evidently having more numbers of arrays and snapshots. Some computer simulation results are provided to illustrate the performance of the algorithm