Matrix outer-product decomposition method for blind multiple channel identification

Blind channel identification and equalization have recently attracted a great deal of attention due to their potential application in mobile communications and digital TV systems. In this paper, we present a new algorithm that utilizes second-order statistics for multichannel parameter estimation. The algorithm is simple and relies on an outer-product decomposition. Its implementation requires no adjustment for singleor multiple-user systems. This new algorithm can be viewed as a generalization of a recently proposed linear prediction algorithm. It is capable of generating more accurate channel estimates and is more robust to overmodeling errors in channel order estimate. The superior performance of this new algorithm is demonstrated through simulation examples.