4.6 Article

Nonlinear spectral management: Linearization of the lossless fiber channel

Journal

OPTICS EXPRESS
Volume 21, Issue 20, Pages 24344-24367

Publisher

OPTICAL SOC AMER
DOI: 10.1364/OE.21.024344

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Funding

  1. EPSRC [EP/J017582/1]
  2. Russian Ministry of Education and Science, European Research Council
  3. Marie Curie IRSES
  4. Engineering and Physical Sciences Research Council [EP/J017582/1] Funding Source: researchfish
  5. EPSRC [EP/J017582/1] Funding Source: UKRI

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Using the integrable nonlinear Schrodinger 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. (C) 2013 Optical Society of America

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