Clustering-Based Adaptive Channel Estimator for Optical Fiber Communication Systems

Abstract

In this letter, a new clustering-based adaptive channel estimator is proposed for optical fiber communication systems with the maximum-likelihood sequence estimation (MLSE) receiver. The estimator is very effective in estimating the key channel parameters needed by the Viterbi processor without assuming that the channel memory length is known a priori to the receiver. Moreover, the application of the proposed channel estimator can induce a complexity-reduced MLSE receiver.