Approximate Maximum a Posteriori Carrier Phase Estimator for Wiener Phase Noise Channels using Belief Propagation

TL;DR

This paper introduces a belief propagation-based approximate maximum a posteriori carrier phase estimator designed for Wiener phase noise channels, aiming to improve phase estimation accuracy over traditional methods.

Contribution

It proposes a novel belief propagation approach for carrier phase estimation, enhancing performance in probabilistically shaped constellations compared to existing algorithms.

Findings

Outperforms standard BPS in phase estimation accuracy

Offers improved robustness for probabilistically shaped constellations

Demonstrates potential for better communication system reliability

Abstract

The blind phase search (BPS) algorithm for carrier phase estimation is known to have sub-optimal performance for probabilistically shaped constellations. We present a belief propagation based approximate maximum a posteriori carrier phase estimator and compare its performance with the standard and an improved BPS algorithm.