A fuzzy logic system for channel equalization

We present a new method for channel equalization using fuzzy logic. The membership functions are derived from the training data set, and a method to estimate the delay of the communication channel is proposed. The performance of the fuzzy equalizer is compared with that of a transversal filter equalizer. It is shown using simulations that the transversal filter requires a much larger training set to achieve the same error rate. It is also shown, using simulations, that the fuzzy equalizer performs better in the presence of channel nonlinearities. >

[1]  Jerry M. Mendel,et al.  Fuzzy adaptive filters, with application to nonlinear channel equalization , 1993, IEEE Trans. Fuzzy Syst..

[2]  M. Mizumoto,et al.  Realization of PID controls by fuzzy control methods , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[3]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[4]  D. Falconer.  Adaptive equalization of channel nonlinearities in QAM data transmission systems , 1978, The Bell System Technical Journal.

[5]  Ebrahim H. Mamdani,et al.  A linguistic self-organizing process controller , 1979, Autom..

[6]  J. Keller,et al.  Fuzzy set theoretic approach to computer vision: An overview , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.