An Approach for Coefficients optimization in Adaptive Filter Signal Equalization

This paper considers adaptive signal equalization in a channel with inter-symbol interference (ISI) distortion. In this process two adaptive FIR filters with different “forgetting factors” are used to update their filter coefficients. RLS algorithm is applied to optimize the filter coefficients. A comparison to a Genetic algorithm was done. The difference between the estimated mean square errors of both filters provides indication on how to change the “forgetting factors” to get closer to their optimal value. Finally, the computational efforts for filters with five different filter orders are compared. The obtained results prove the applicability of the presented approach.