A Phase Recovery-Aware Algorithm for Kernel Estimation of the Manakov Equation

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
31 Downloads (Pure)

Abstract

The performance of the normalized batch gradient descent (NBGD) algorithm to model nonlinear interference in the presence of phase recovery is analyzed. A modification of the underlying model’s parameterisation is proposed, which reduces NBGD's penalties.
Original languageEnglish
Title of host publication2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM)
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)979-8-3503-1261-4
DOIs
Publication statusPublished - 1 Jan 2024
EventAsia Communications and Photonics Conference (ACP) and The International Photonics and OptoElectronics Meetings (POEM) - The Conference Venue is Wanda Reign Wuhan , Wuhan, China
Duration: 4 Nov 20237 Nov 2023
http://www.acpconf.com/

Conference

ConferenceAsia Communications and Photonics Conference (ACP) and The International Photonics and OptoElectronics Meetings (POEM)
Abbreviated titleACP-POEM
Country/TerritoryChina
CityWuhan
Period4/11/237/11/23
Internet address

Funding

The work of A. Barreiro and A. Alvarado has received funding from the European Research Council (ERC) under the European Union s Horizon 2020 research and innovation programme (grant agreement No 757791).

FundersFunder number
European Union's Horizon 2020 - Research and Innovation Framework Programme757791

    Keywords

    • channel modeling
    • gradient descent
    • optical fiber
    • regular perturbation

    Fingerprint

    Dive into the research topics of 'A Phase Recovery-Aware Algorithm for Kernel Estimation of the Manakov Equation'. Together they form a unique fingerprint.

    Cite this