An adjoint sensitivity analysis approach exploiting inverse nonlinear schrödinger equation

Mahmoud M.T. Maghrabi; Mohamed H. Bakr; Shiva Kumar

doi:10.1109/ACES53325.2021.00054

An adjoint sensitivity analysis approach exploiting inverse nonlinear schrödinger equation

Mahmoud M.T. Maghrabi
, Mohamed H. Bakr
, Shiva Kumar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a computationally inexpensive adjoint sensitivity analysis (ASA) approach that is based on the inverse nonlinear Schrödinger equation (INLSE). The introduced algorithm significantly accelerates the parameter estimation of adaptive digital back propagation (ADPB), used for blindly mitigating the linear and nonlinear distortions of optical fiber communication systems and networks. The approach efficiency is illustrated here through a numerical example.

Original language	English
Title of host publication	2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781733509626
DOIs	https://doi.org/10.1109/ACES53325.2021.00054
State	Published - 1 Aug 2021
Externally published	Yes

Publication series

Name	2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021

Bibliographical note

Publisher Copyright:
© 2021 Applied Computational Electromagnetics Society.

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Radiation

Access to Document

10.1109/ACES53325.2021.00054

Cite this

Maghrabi, M. M. T., Bakr, M. H., & Kumar, S. (2021). An adjoint sensitivity analysis approach exploiting inverse nonlinear schrödinger equation. In 2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021 (2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACES53325.2021.00054

Maghrabi, Mahmoud M.T. ; Bakr, Mohamed H. ; Kumar, Shiva. / An adjoint sensitivity analysis approach exploiting inverse nonlinear schrödinger equation. 2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021).

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title = "An adjoint sensitivity analysis approach exploiting inverse nonlinear schr{\"o}dinger equation",

abstract = "This paper presents a computationally inexpensive adjoint sensitivity analysis (ASA) approach that is based on the inverse nonlinear Schr{\"o}dinger equation (INLSE). The introduced algorithm significantly accelerates the parameter estimation of adaptive digital back propagation (ADPB), used for blindly mitigating the linear and nonlinear distortions of optical fiber communication systems and networks. The approach efficiency is illustrated here through a numerical example.",

author = "Maghrabi, \{Mahmoud M.T.\} and Bakr, \{Mohamed H.\} and Shiva Kumar",

note = "Publisher Copyright: {\textcopyright} 2021 Applied Computational Electromagnetics Society.",

year = "2021",

month = aug,

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doi = "10.1109/ACES53325.2021.00054",

language = "English",

series = "2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021",

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Maghrabi, MMT, Bakr, MH & Kumar, S 2021, An adjoint sensitivity analysis approach exploiting inverse nonlinear schrödinger equation. in 2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021. 2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACES53325.2021.00054

An adjoint sensitivity analysis approach exploiting inverse nonlinear schrödinger equation. / Maghrabi, Mahmoud M.T.; Bakr, Mohamed H.; Kumar, Shiva.
2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Kumar, Shiva

PY - 2021/8/1

Y1 - 2021/8/1

N2 - This paper presents a computationally inexpensive adjoint sensitivity analysis (ASA) approach that is based on the inverse nonlinear Schrödinger equation (INLSE). The introduced algorithm significantly accelerates the parameter estimation of adaptive digital back propagation (ADPB), used for blindly mitigating the linear and nonlinear distortions of optical fiber communication systems and networks. The approach efficiency is illustrated here through a numerical example.

AB - This paper presents a computationally inexpensive adjoint sensitivity analysis (ASA) approach that is based on the inverse nonlinear Schrödinger equation (INLSE). The introduced algorithm significantly accelerates the parameter estimation of adaptive digital back propagation (ADPB), used for blindly mitigating the linear and nonlinear distortions of optical fiber communication systems and networks. The approach efficiency is illustrated here through a numerical example.

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M3 - Conference contribution

AN - SCOPUS:85115978347

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BT - 2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021

PB - Institute of Electrical and Electronics Engineers Inc.

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Maghrabi MMT, Bakr MH, Kumar S. An adjoint sensitivity analysis approach exploiting inverse nonlinear schrödinger equation. In 2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021). doi: 10.1109/ACES53325.2021.00054

An adjoint sensitivity analysis approach exploiting inverse nonlinear schrödinger equation

Abstract

Publication series

Bibliographical note

ASJC Scopus subject areas

Access to Document

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Cite this