Dispersion-managed fiber echo state network analogue with high (including THz) bandwidth


We propose a design for high (including THz) bandwidth neuromorphic signal processing based on fiber echo state network analogue and demonstrate through numerical modeling its efficiency for distortion mitigation in optical communications with high-order (including 1024-QAM) formats. This is achieved via all-optical implementation of masking and neural functionality by utilizing dispersion and nonlinear properties of the fiber. The design is flexible and format-transparent making it relevant for future communication systems. The model is simple to implement, as it requires only two attenuators and pumps in addition to a traditional nonlinear optical loop mirror (NOLM), and offers a vast range of optimization parameters.

Publication DOI: https://doi.org/10.1109/JLT.2020.2996311
Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
College of Engineering & Physical Sciences
Additional Information: © 2020 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: Royal Academy of Engineering Research Fellowship RF\201718\17154.
Uncontrolled Keywords: Neuromorphic computing,optical communica-Tions,signal processing,Atomic and Molecular Physics, and Optics
Publication ISSN: 0733-8724
Last Modified: 12 Feb 2024 08:37
Date Deposited: 28 May 2020 07:10
Full Text Link:
Related URLs: https://ieeexpl ... cument/9098093/ (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2020-06-15
Published Online Date: 2020-05-21
Accepted Date: 2020-05-01
Authors: Sorokina, Mariia (ORCID Profile 0000-0001-6082-0316)



Version: Accepted Version

| Preview

Export / Share Citation


Additional statistics for this record