Fuzzy-ARTMAP and Higher-Order Statistics Based Blind Equalization

This paper discusses a blind equalization technique for FIR channel system, that might be minimum phase or not, in digital communication. The proposed techniques consist of two parts. One is to estimate the original channel coefficients based on fourth-order cumulants of the channel output, the other is to employ fuzzy-ARTMAP neural network to model an inverse system for the original channel. In simulation studies, the performance of the proposed blind equalizer is compared with both linear and other neural basis equalizers.