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An Efficient Decision Feedback Equalizer with a Novel Block Based NLMS Algorithm

A new block-based normalized least mean square (NLMS) algorithm with set-membership filtering (SMF) criteria is proposed for symbol rate decision feedback equalization. This block-based simplification of NLMS algorithm with the principle of SMF provides substantial reduction in filter weight updating operations as well as less bit error rate while keeping the convergence speed almost same as the existing algorithms for the same purpose. It is shown in the results that the introduced algorithm yields better performance in presence of co-channel interference and also offers significant reduction in certain implementational operations due to its structural simplicity.