Title :
Overcoming time-varying co-channel interference using type-2 fuzzy adaptive filters
Author :
Liang, Qilian ; Mendel, Jerry M.
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
fDate :
12/1/2000 12:00:00 AM
Abstract :
This paper presents a method for overcoming time-varying co-channel interference (CCI) using type-2 fuzzy adaptive filters (FAF). The type-2 FAF is realized using an unnormalized type-2 Takagi-Sugeno-Kang fuzzy logic system. A clustering method is used to adaptively design the parameters of the FAF. We use transversal equalizer and decision feedback equalizer structures to eliminate the CCI. Simulation results show that the equalizers based on type-2 FAFs perform better than the nearest neighbor classifiers or the equalizers based on type-1 FAFs when the number of co-channels is much large than 1
Keywords :
adaptive filters; cellular radio; cochannel interference; decision feedback equalisers; fuzzy logic; time-varying channels; clustering method; co-channel number; decision feedback equalizer; simulation results; time-varying co-channel interference; transversal equalizer; type-2 fuzzy adaptive filters; unnormalized type-2 Takagi-Sugeno-Kang fuzzy logic system; Adaptive filters; Decision feedback equalizers; Frequency; Fuzzy logic; Fuzzy sets; Interchannel interference; Radio link; Radiofrequency interference; Signal processing; Time-varying channels;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
