On the direct estimation of the Wiener beamformer using second and fourth order cumulants

In this paper, we propose a new algorithm for performing blind source separation and signal recovery for the narrowband case. This algorithm seeks to estimate and implement the Wiener filter directly using the second and fourth order cumulants. The estimated filter is asymptotically consistent with or without noise, is not subject to the bound imposed by pre-whitening as with some existing algorithms, and outperforms these algorithms. In fact, in many cases it nearly achieves the Wiener limit as performance studies show.