Title :
A fuzzy logic system for channel equalization
Author :
Sarwal, P. ; Srinath, M.D.
Author_Institution :
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
fDate :
5/1/1995 12:00:00 AM
Abstract :
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
Keywords :
delay circuits; delays; equalisers; fuzzy logic; fuzzy set theory; intersymbol interference; telecommunication channels; channel equalization; channel nonlinearities; communication channel; delay; delay estimation; fuzzy equalizer; fuzzy logic system; heuristics; membership functions; training data set; Adaptive equalizers; Application software; Artificial neural networks; Baseband; Delay estimation; Fuzzy logic; Intersymbol interference; Nonlinear filters; Training data; Transversal filters;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
