Literature DB >> 24104344

Nonlinear spectral management: linearization of the lossless fiber channel.

Jaroslaw E Prilepsky, Stanislav A Derevyanko, Sergei K Turitsyn.   

Abstract

Using the integrable nonlinear Schrödinger equation (NLSE) as a channel model, we describe the application of nonlinear spectral management for effective mitigation of all nonlinear distortions induced by the fiber Kerr effect. Our approach is a modification and substantial development of the so-called "eigenvalue communication" idea first presented in A. Hasegawa, T. Nyu, J. Lightwave Technol. 11, 395 (1993). The key feature of the nonlinear Fourier transform (inverse scattering transform) method is that for the NLSE, any input signal can be decomposed into the so-called scattering data (nonlinear spectrum), which evolve in a trivial manner, similar to the evolution of Fourier components in linear equations. We consider here a practically important weakly nonlinear transmission regime and propose a general method of the effective encoding/modulation of the nonlinear spectrum: The machinery of our approach is based on the recursive Fourier-type integration of the input profile and, thus, can be considered for electronic or all-optical implementations. We also present a novel concept of nonlinear spectral pre-compensation, or in other terms, an effective nonlinear spectral pre-equalization. The proposed general technique is then illustrated through particular analytical results available for the transmission of a segment of the orthogonal frequency division multiplexing (OFDM) formatted pattern, and through WDM input based on Gaussian pulses. Finally, the robustness of the method against the amplifier spontaneous emission is demonstrated, and the general numerical complexity of the nonlinear spectrum usage is discussed.

Entities:  

Year:  2013        PMID: 24104344     DOI: 10.1364/OE.21.024344

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  3 in total

1.  Correlated Eigenvalues of Multi-Soliton Optical Communications.

Authors:  Wen Qi Zhang; Tao Gui; Qun Zhang; Chao Lu; Tanya M Monro; Terence H Chan; Alan Pak Tao Lau; V Shahraam Afshar
Journal:  Sci Rep       Date:  2019-04-25       Impact factor: 4.379

2.  Neural networks for computing and denoising the continuous nonlinear Fourier spectrum in focusing nonlinear Schrödinger equation.

Authors:  Egor V Sedov; Pedro J Freire; Vladimir V Seredin; Vladyslav A Kolbasin; Morteza Kamalian-Kopae; Igor S Chekhovskoy; Sergei K Turitsyn; Jaroslaw E Prilepsky
Journal:  Sci Rep       Date:  2021-11-24       Impact factor: 4.379

3.  Capacity estimates for optical transmission based on the nonlinear Fourier transform.

Authors:  Stanislav A Derevyanko; Jaroslaw E Prilepsky; Sergei K Turitsyn
Journal:  Nat Commun       Date:  2016-09-09       Impact factor: 14.919

  3 in total

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