Performance Analysis of Best suited Adaptive Equalization Algorithm for Optical Communication

TL;DR

This paper evaluates an adaptive equalization algorithm for optical communication channels, demonstrating improvements in stability, error performance, and convergence over traditional methods, using advanced techniques like activity detection and tap decoupling.

Contribution

It introduces an enhanced adaptive FS-DFE algorithm with activity detection guidance and tap decoupling, tailored for optical channels, showing significant performance benefits.

Findings

Improved stability and convergence rate with the proposed algorithm.

Enhanced steady-state error performance through activity detection.

Better amplitude distortion mitigation using combined FSE and DFE techniques.

Abstract

Fiber optics is one of the highest bandwidth communication channel types in the current communication industry. The paper is to analyze a typical optical channel and perform channel equalization using an adaptive modified DFE with Activity Detection Guidance and Tap Decoupling algorithm. Evaluation can be made on the employment of the DFE algorithm and with enhancements, like Fractionally-Spaced equalization and Activity Detection Guidance, to improve its stability, steady-state error performance and convergence rate. The successful implementation of the Adaptive FS-DFE with ADG and TD technique offers an excellent alternative to linear equalization, which is known to be of little benefit for optical channels because of exorbitant noise enhancement. The FSE technique, when combined with the DFE, would offer improved effectiveness to amplitude distortion. As the impulse response of a typical optical link would have regions that are essentially zero, the employment of the activity detection scheme with Tap Decoupling would further enhance the steady-state error performance and convergence rate.