Joint Equalization and Decoding for Nonlinear Two-Dimensional Intersymbol Interference Channels

TL;DR

This paper introduces a joint equalization and decoding algorithm for nonlinear 2D intersymbol interference channels, demonstrated on TwoDOS optical storage, showing significant performance improvements and noise tolerance analysis.

Contribution

It presents a novel sum-product message-passing algorithm for nonlinear 2D ISI channels, specifically applied to TwoDOS technology, with performance evaluation and noise threshold analysis.

Findings

Significant performance improvement over uncoded systems

Effective joint equalization and decoding for nonlinear 2D ISI

Noise tolerance thresholds established using density evolution

Abstract

An algorithm that performs joint equalization and decoding for channels with nonlinear two-dimensional intersymbol interference is presented. The algorithm performs sum-product message-passing on a factor graph that represents the underlying system. The two-dimensional optical storage (TwoDOS) technology is an example of a system with nonlinear two-dimensional intersymbol interference. Simulations for the nonlinear channel model of TwoDOS show significant improvement in performance over uncoded performance. Noise tolerance thresholds for the TwoDOS channel computed using density evolution are also presented.