Iterative Detection and Phase-Noise Compensation for Coded Multichannel Optical Transmission

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Titel: Iterative Detection and Phase-Noise Compensation for Coded Multichannel Optical Transmission
Autoren: Alfredsson, Arni, 1989, Agrell, Erik, 1965, Wymeersch, Henk, 1976
Quelle: Teknologier for spatiell multiplexning: nästa utmaning inom optisk kommunikation IEEE Transactions on Communications. 67(8):5532-5543
Schlagwörter: detection, factor graph, variational Bayesian inference, phase noise, sum-product algorithm
Beschreibung: The problem of phase-noise compensation for correlated phase noise in coded multichannel optical transmission is investigated. To that end, a simple multichannel phase-noise model is considered and the maximum a posteriori detector for this model is approximated using two frameworks, namely factor graphs (FGs) combined with the sum–product algorithm (SPA), and a variational Bayesian (VB) inference method. The resulting pilot-aided algorithms perform iterative phase-noise compensation in cooperation with a decoder, using extended Kalman smoothing to estimate the a posteriori phase-noise distribution jointly for all channels. The system model and the proposed algorithms are verified using experimental data obtained from space-division multiplexed multicore-fiber transmission. Through Monte Carlo simulations, the algorithms are further evaluated in terms of phase-noise tolerance for coded transmission. It is observed that they significantly outperform the conventional approach to phase-noise compensation in the optical literature. Moreover, the FG/SPA framework performs similarly or better than the VB framework in terms of phase-noise tolerance of the resulting algorithms, for a slightly higher computational complexity.
Dateibeschreibung: electronic
Zugangs-URL: https://research.chalmers.se/publication/510041
https://research.chalmers.se/publication/513283
https://research.chalmers.se/publication/513283/file/513283_Fulltext.pdf
Datenbank: SwePub
Beschreibung
Abstract:The problem of phase-noise compensation for correlated phase noise in coded multichannel optical transmission is investigated. To that end, a simple multichannel phase-noise model is considered and the maximum a posteriori detector for this model is approximated using two frameworks, namely factor graphs (FGs) combined with the sum–product algorithm (SPA), and a variational Bayesian (VB) inference method. The resulting pilot-aided algorithms perform iterative phase-noise compensation in cooperation with a decoder, using extended Kalman smoothing to estimate the a posteriori phase-noise distribution jointly for all channels. The system model and the proposed algorithms are verified using experimental data obtained from space-division multiplexed multicore-fiber transmission. Through Monte Carlo simulations, the algorithms are further evaluated in terms of phase-noise tolerance for coded transmission. It is observed that they significantly outperform the conventional approach to phase-noise compensation in the optical literature. Moreover, the FG/SPA framework performs similarly or better than the VB framework in terms of phase-noise tolerance of the resulting algorithms, for a slightly higher computational complexity.
ISSN:00906778
15580857
DOI:10.1109/TCOMM.2019.2912569