An adaptive whitened matched filter

An adaptive procedure for updating the coefficients of a fractionally spaced or diversity channel whitened matched filter (WMF) is presented. By exploiting the minimum phase and noise whitening properties of the WMF, a dual-multichannel estimation problem is formulated. This estimation problem is then solved using Kalman filter techniques. The WMF is thus developed directly from an estimate of the channel impulse response. Simulation results are presented to demonstrate that this technique provides a causal approximation to the WMF