Reconstructing binary signals by rule-based fuzzy equalizer with self-organizing capability

Abstract

This paper presents a rule-based approach to the problem known as channel equalization which is concerned with reconstructing binary signals being transmitted through a dispersive communication channel and then corrupted by additive noise. With the aid of fuzzy concepts and fuzzy operators, we try to cope with the problem by a rule-based equalizer. A self-organizing algorithm consisting of learning, pruning, and refining processes is developed aiming at building the rule-base from labeled observations. The rule-based equalizer makes the decision on the basis of measuring the similarity between the current observation and the obtained rule prototypes. The simulation studies on linear and non-linear channels are used to demonstrate the performance of the proposed approacht. © 1997 IOS PRESS.