scholarly journals High-order modulation on a single discrete eigenvalue for optical communications based on nonlinear Fourier transform

2017 ◽  
Vol 25 (17) ◽  
pp. 20286 ◽  
Author(s):  
Tao Gui ◽  
Chao Lu ◽  
Alan Pak Tao Lau ◽  
P. K. A. Wai
Keyword(s):  
Fourier Transform ◽  
Optical Communications ◽  
High Order ◽  
Discrete Eigenvalue ◽  
Nonlinear Fourier Transform ◽  
High Order Modulation

scholarly journals Combining nonlinear Fourier transform and neural network-based processing in optical communications

2020 ◽  
Vol 45 (13) ◽  
pp. 3462 ◽  
Author(s):  
Oleksandr Kotlyar ◽  
Maryna Pankratova ◽  
Morteza Kamalian-Kopae ◽  
Anastasiia Vasylchenkova ◽  
Jaroslaw E. Prilepsky ◽  
...  
Keyword(s):  
Neural Network ◽  
Fourier Transform ◽  
Optical Communications ◽  
Nonlinear Fourier Transform

Nonlinear Compensation in Optical Communications Systems With Normal Dispersion Fibers Using the Nonlinear Fourier Transform

2017 ◽  
Vol 35 (23) ◽  
pp. 5056-5068 ◽  
Author(s):  
Ivan T. Lima ◽  
Thiago D. S. DeMenezes ◽  
Vladimir S. Grigoryan ◽  
Maurice O'Sullivan ◽  
Curtis R. Menyuk
Keyword(s):  
Fourier Transform ◽  
Optical Communications ◽  
Normal Dispersion ◽  
Communications Systems ◽  
Nonlinear Compensation ◽  
Nonlinear Fourier Transform

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

Entropy ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. 1131
Author(s):  
Benedikt Leible ◽  
Daniel Plabst ◽  
Norbert Hanik
Keyword(s):  
Fourier Transform ◽  
Numerical Simulations ◽  
Mean Squared Error ◽  
Detection Methods ◽  
Achievable Rate ◽  
Discrete Eigenvalue ◽  
Full Spectrum ◽  
Spectral Components ◽  
Discrete And Continuous Spectra ◽  
Nonlinear Fourier Transform

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.

Alternative Decoding Methods for Optical Communications Based on Nonlinear Fourier Transform

2017 ◽  
Vol 35 (9) ◽  
pp. 1542-1550 ◽  
Author(s):  
Tao Gui ◽  
Terence H. Chan ◽  
Chao Lu ◽  
Alan Pak Tao Lau ◽  
Ping-Kong Alexander Wai
Keyword(s):  
Fourier Transform ◽  
Optical Communications ◽  
Nonlinear Fourier Transform
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