Channel tracking for optical fiber communication systems: clustering-based approach

Abstract

As a very effective scheme to realize channel acquisition, clustering-based channel estimation algorithms have been proposed for optical fiber communication systems with a maximum-likelihood sequence estimation receiver. These algorithms can estimate the key channel parameters needed by the Viterbi processor accurately without assuming that the channel memory length is known a priori to the receiver. In this work, a corresponding adaptive channel tracking algorithm is proposed, which is proved to be very powerful in tracking the variation of the communication channel. Cooperation of the clustering-based channel acquisition and channel tracking is realized.