Research Output per year
In this work, we introduce the periodic nonlinear Fourier transform (PNFT) method as an alternative and efficacious tool for compensation of the nonlinear transmission effects in optical fiber links. In the Part I, we introduce the algorithmic platform of the technique, describing in details the direct and inverse PNFT operations, also known as the inverse scattering transform for periodic (in time variable) nonlinear Schrödinger equation (NLSE). We pay a special attention to explaining the potential advantages of the PNFT-based processing over the previously studied nonlinear Fourier transform (NFT) based methods. Further, we elucidate the issue of the numerical PNFT computation: we compare the performance of four known numerical methods applicable for the calculation of nonlinear spectral data (the direct PNFT), in particular, taking the main spectrum (utilized further in Part II for the modulation and transmission) associated with some simple example waveforms as the quality indicator for each method. We show that the Ablowitz-Ladik discretization approach for the direct PNFT provides the best performance in terms of the accuracy and computational time consumption.
Bibliographical note© 2016 Optical Society of America. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited.
Funding: EPSRC (UNLOC EP/J017582/1).
The metadata for this publication are available via the Aston Research Repository at
Periodic nonlinear Fourier transform for fiber-optic communications, Part II: eigenvalue communicationKamalian, M., Prilepsky, J. E., Le, S. T. & Turitsyn, S. K., 8 Aug 2016, In : Optics Express. 24, 16, p. 18370-18381 12 p.
Research output: Contribution to journal › Article
Periodic nonlinear Fourier transform for fiber-optic communications, Part I: Theory and numerical methods
Periodic nonlinear Fourier transform for fiber-optic communications, Part II: Eigenvalue communication