Kernel-based learning-aided phase noise compensation in dual-pump optical phase conjugation coherent system

Abstract

We deploy kernel-based time-series prediction to suppress the phase noise induced by small deviations from ideal pump counter-phasing in a dual-pump optical phase conjugation system. We show experimentally 1.5-dB SNR improvement for 16-QAM signals at 4opump-phase mismatch.

Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Electrical and Electronic Engineering
Additional Information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Funding: This work was supported by the UK EPSRC - Grants EP/S003436/1, EP/S016171/1 and EP/R035342/1
Event Title: 2021 Optical Fiber Communications Conference and Exhibition (OFC)
Event Type: Other
Event Location: San Francisco, CA, USA
Event Dates: 2021-06-06 - 2021-06-10
ISBN: 978-1-6654-2938-2, 978-1-943580-86-6
Full Text Link:
Related URLs: https://ieeexpl ... ocument/9489851 (Publisher URL)
PURE Output Type: Chapter (peer-reviewed)
Published Date: 2021-07-26
Accepted Date: 2021-06-01
Authors: Nguyen, Thanh Tu
Boscolo, Sonia (ORCID Profile 0000-0001-5388-2893)
Ali, Abdallah
Tan, Mingming (ORCID Profile 0000-0002-0822-8160)
Zhang, Tingting (ORCID Profile 0000-0002-3901-6267)
Takasaka, Shigehiro
Sugizaki, Ryuichi
Sygletos, Stylianos (ORCID Profile 0000-0003-2063-8733)
Ellis, Andrew D. (ORCID Profile 0000-0002-0417-0547)

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