Abstract
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.
Original language | English |
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Article number | 9098093 |
Pages (from-to) | 3209-3213 |
Number of pages | 5 |
Journal | Journal of Lightwave Technology |
Volume | 38 |
Issue number | 12 |
Early online date | 21 May 2020 |
DOIs | |
Publication status | Published - 15 Jun 2020 |
Bibliographical note
© 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.
Keywords
- Neuromorphic computing
- optical communica-Tions
- signal processing