Optimization of decision feedback equalizer tap-length using genetic algorithm

In this paper, we propose an method which is optimizing length of the equalizer taps using genetic algorithm (GA). The equalizer is a decision feedback equalizer (DFE). Feed-forward filter length and feed-back filter length are regarded as genetic information in GA. The GA uses different random cross-over methods. It finds out the optimized DFE tap length for low bit error rate BER. There are two methods for BER calculation in the object function of GA; first, it is to use all data of preamble and payload in order to calculating BER; second, it is merely to use preamble data for communication.