Channel Estimation and LDPC Decoding for Bursty Phase Noise
Abstract
Time-varying distortions in communication systems can significantly degrade the performance of soft-decision forward error correction. This paper presents a burst-aware (BA) low-density parity-check (LDPC) decoding scheme for channels affected by bursty phase noise. By applying differential coding to a Wiener process with time-varying innovation variance, bursty differential phase noise is obtained. Simulation results demonstrate that, compared to conventional decoding, the BA scheme achieves gains in the signal-to-noise ratio of up to ~dB at a bit error rate (BER) of and more than ~dB at a packet error rate (PER) of . Furthermore, by iterating between channel estimation and \ac{ldpc} decoding, forming the proposed iterative burst-aware (IBA) decoding scheme, the gains increase to ~dB and more than ~dB, respectively. More importantly, the IBA scheme significantly improves robustness to bursty phase noise. Compared with the conventional scheme, the IBA scheme can reduce both \ac{ber} and \ac{per} by up to two orders of magnitude under severe bursty phase noise.
Cite
@article{arxiv.2604.07004,
title = {Channel Estimation and LDPC Decoding for Bursty Phase Noise},
author = {Han Cui and Frank R. Kschischang and Magnus Karlsson and Erik Agrell},
journal= {arXiv preprint arXiv:2604.07004},
year = {2026}
}