EFFICIENT BLOCK IMPLEMENTATION OF THE DECISION-FEEDBACK EQUALIZER

In this letter, a new block adaptive decision feedback equalizer is de veloped. Both the feedforward (FF) and the feedback (FB) filters are u pdated once every K sample time intervals, with K being the block leng th. It should be noted that this block adaptation is done in such a wa y that the resulting filters, and the decisions as well, are identical to those computed by the conventional sample by sample LMS-based deci sion feedback equalizer (LMS-DFE). The new algorithm offers substantia l computational savings as compared to the sample-by-sample LMS-DFE wi th no loss in performance. The new block DFE turns out to be particula rly suitable for applications requiring long equalizers.