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Neuro-Fuzzy Equalizers for Cellular Channels
In the previous chapter, we have seen that the mobile cellular channel is Linear and Time Variant (LTV), because of fading (Liang and Mendel 2000). Therefore an equalizer which can be effectively applied to such a channel needs to be nonlinear, as there are certain uncertainties in the channel parameters (Adali 1999). Since the mobile cellular channel is broadcast type, blind equalizers are most suitable for them (Xie and Leung 2005). We consider mainly two equalizers in this chapter. They are the Type-2 Fuzzy Adaptive Filter based Transversal Equalizer (TE) and the Decision Feedback Equalizer (DFE). Decision feedback has been used both in linear and nonlinear equalizers to improve system performance ...
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