In digital communication systems, intersymbol interference (ISI) effects are fundamental sources that cause performance limitations. Adaptive blind equalizers do not require training signals for adaptation, making them attractive in a number of applications. Decision feedback equalizers are utilized under severe channel conditions for additional suppression of ISI that a linear equalizer cannot remove. But if it is not available to use sufficient number of taps in the feedback filter, we cannot remove the whole postcursors. The proposed buffer-value update algorithm is counterproposal to mitigate this problem. By applying the feedback value to the proper position of buffers in the equalizer gives another solution that suppress precursors as well as postcursors. Thus under the situation that we are unable to use sufficient number of taps in the feedback filter, the proposed structure gives superior performance compared to the conventional structure.
