An extended fourth order blind identification algorithm in spatially correlated noise

An eigenstructure-based method called extended fourth-order blind identification (EFOBI) is presented for the problem of blind decomposition of multiple source signals in spatially correlated noise. Estimates of the source signals and the unknown model parameters are computed by the algorithm. The method is applied to a speech enhancement problem and to the direction-of-arrival problem in array signal processing under sensor gain uncertainties and shows improved performance over traditional methods such as MUSIC