Robust QR Decomposition Based Blind Equalizers

This paper proposes a novel hybrid linear prediction and QR based blind equalization algorithm. The algorithm is more robust to channel order under/over estimation. The algorithm is a data based (as opposed to channel based) algorithms and is also numerically superior. Simulations clearly indicate that our algorithm performs very well under channel order under/over estimation, when LP and QRD based blind equalizers fail. In the algorithm, there is no matrix inversion involved. So small eigen values (wrongly classified in the signal subspace - in the case of channel over-modelling) are not inverted and hence there is very little performance degradation