Feedforward Phase Noise Compensation for Intersymbol Interference Channels

TL;DR

This paper introduces a non-iterative phase noise compensation method using the sum-product algorithm for ISI channels, improving information rates across various channel types with comparable complexity.

Contribution

It applies SPA-based phase noise compensation to ISI channels modeled with Gaussian variables, outperforming linear MMSE filtering in key scenarios.

Findings

SPA achieves higher information rates than MMSE filtering.

The method performs well on ISI-free, fiber, and multipath channels.

Complexity remains similar to existing linear filtering techniques.

Abstract

A non-iterative phase noise compensation method based on the sum-product algorithm (SPA) is applied to the outputs of intersymbol interference (ISI) channels. The outputs are modeled as independent Gaussian random variables, and the receiver applies mismatched processing with von Mises statistics. The performance is compared with that of linear minimum-mean-square-error filtering. The SPA achieves higher information rates at similar complexity for three channel types: ISI-free, standard single-mode fiber, and multipath channels with orthogonal frequency-division multiplexing.