Minimum Mean-Square-Error Equalization using Priors for Two-Dimensional Intersymbol Interference

TL;DR

This paper extends MMSE equalization techniques with priors to two-dimensional ISI channels, integrating low-density parity-check codes for improved error correction and analyzing performance through various metrics.

Contribution

It introduces a novel extension of MMSE equalization with priors for 2D ISI channels, building upon previous 1D methods, and evaluates their effectiveness with advanced analysis tools.

Findings

Enhanced error correction performance demonstrated

Improved BER vs. SNR curves achieved

Effective analysis using density evolution and E-ET charts

Abstract

Joint equalization and decoding schemes are described for two-dimensional intersymbol interference (ISI) channels. Equalization is performed using the minimum mean-square-error (MMSE) criterion. Low-density parity-check codes are used for error correction. The MMSE schemes are the extension of those proposed by Tuechler et al. (2002) for one-dimensional ISI channels. Extrinsic information transfer charts, density evolution, and bit-error rate versus signal-to-noise ratio curves are used to study the performance of the schemes.