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
Abstract :
The authors present a method for solving the channel equalization problem by using fuzzy logic. The membership functions are derived from the training data set and do not have to be predefined. A method for combining the outcomes of different rules is also proposed. The performance of the method is compared with that of the transversal-filter-based equalizer. It is shown using simulations that the transversal filter requires a much larger training set to achieve the same error rate and that the fuzzy equalizer performs better in the presence of channel nonlinearities
Keywords :
equalisers; fuzzy logic; learning (artificial intelligence); telecommunication channels; channel equalization; channel nonlinearities; error rate; fuzzy logic; membership functions; training data set; transversal-filter-based equalizer; Application software; Baseband; Delay; Equalizers; Error analysis; Fuzzy logic; Intersymbol interference; Neural networks; Training data; Transversal filters;
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
DOI :
10.1109/FUZZY.1993.327395
