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Decision feedback equalizer for nonlinear time-varying channels using type-2 fuzzy adaptive filters

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2 Author(s)
Qilian Liang ; Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA ; J. M. Mendel

Presents a decision feedback equalizer (DFE) that uses type-2 fuzzy adaptive filters (FAFs). These FAFs are realized using an unnormalized type-2 TSK fuzzy logic system. We apply our DFE to a nonlinear time-varying channel, and demonstrate that it can implement the Bayesian equalizer for such a channel, has a simple structure, and provides fast inference. A clustering method is used to adaptively design the parameters of the FAF. Our DFE vastly reduces computational complexity as compared to a transversal equalizer. Simulation results show that our type-2 FAF-based DFE performs much better than nearest neighbor classifiers or a DFE based on type-1 FAFs

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Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on  (Volume:2 )

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