Back-to-Back Performance of the Full Spectrum Nonlinear Fourier Transform and Its Inverse

Entropy

卷:22

Norbert Hanik¹  Daniel Plabst¹  Benedikt Leible¹ 

[1] Institute for Communications Engineering, Technical University of Munich, Theresienstr. 90, 80333 Munich, Germany;

关键词: fiber-optic communications;    nonlinear fourier transform;    inverse scattering;    algorithms;   

DOI  :  10.3390/e22101131

来源: DOAJ

【 摘 要 】

In this paper, data-transmission using the nonlinear Fourier transform for jointly modulated discrete and continuous spectra is investigated. A recent method for purely discrete eigenvalue removal at the detector is extended to signals with additional continuous spectral support. At first, the eigenvalues are sequentially detected and removed from the jointly modulated received signal. After each successful removal, the time-support of the resulting signal for the next iteration can be narrowed, until all eigenvalues are removed. The resulting truncated signal, ideally containing only continuous spectral components, is then recovered by a standard NFT algorithm. Numerical simulations without a fiber channel show that, for jointly modulated discrete and continuous spectra, the mean-squared error between transmitted and received eigenvalues can be reduced using the eigenvalue removal approach, when compared to state-of-the-art detection methods. Additionally, the computational complexity for detection of both spectral components can be decreased when, by the choice of the modulated eigenvalues, the time-support after each removal step can be reduced. Numerical simulations are also carried out for transmission over a Raman-amplified, lossy SSMF channel. The mutual information is approximated and the eigenvalue removal method is shown to result in achievable rate improvements.

【 授权许可】

Unknown