Blind adaptive filtering using multivariate noncausal autoregressive modeling for wireless communication systems with antenna arrays

A linear high-order statistics based method is proposed to mitigate the performance degradation caused by multipath RF propagation in a mobile radio communication system using a linear antenna array in the base station receiver. The method is based on noncausal autoregressive modeling. It is shown that a set of linear equations (involving only cumulants of the received baseband digitized signal) can be obtained to perform non-iterative deconvolution. An efficient adaptive algorithm is proposed.