An MLSE receiver using channel classification for Rayleigh fading channels

In this paper, we propose a channel classification method that identifies t he delay path profile of Rayleigh fading channels, which can be used in con junction with conventional maximum-likelihood sequence estimation (MLSE) re ceivers. The proposed method determines the appropriate number of delay tap s for the MLSE trellis, based on a decision variable obtained from multiple traffic bursts. By formulating the decision variable using the F-distribut ion, we derive exact expressions for misclassification probability. A new M LSE receiver structure that utilizes the channel classification method is d escribed, and bit error rate (BER) simulation results are presented to demo nstrate the performance improvement. The particular application which is di scussed is the IS-136 TDMA standard.