Multi-Symbol Digital Signal Processing Techniques for Discrete Eigenvalue Transmissions Based on Nonlinear Fourier Transform
نویسندگان
چکیده
Optical communications based on Nonlinear Fourier Transform (NFT) and digital coherent transceivers are proposed as a new theoretical framework for over the nonlinear optical fiber channel. For discrete eigenvalue transmissions (or soliton transmissions), one seeks to encode much information possible in each degree of freedom shorten distance between neighboring pulses increase overall bit rate. However, such attempts would result inter-symbol interference (ISI) across multiple symbols significantly degrade transmission performance. In this paper, we investigated joint modulation ? b -coefficents (?) developed suite multi-symbol signal processing (DSP) techniques exploit statistical correlations continuous eigenvalues mitigate distortions improve detection This include 1) jointly modulating both pairs 1-solitons so that mean value solitons with odd index is ? + 1 xmlns:xlink="http://www.w3.org/1999/xlink">i while it - even index. followed by decoding superimposed received waveforms 2-solitons twice INFT time window; 2) linear minimum squared error (LMMSE) estimation filters noise using eigenvalue; 3) (MS) LMMSE 4) approximate distributions Gaussians covariance matrices obtained empirically from experiments Maximum Likelihood (ML) symbol or (MS)-joint ML 2-soliton signals. We modulate 16-QAM 16-APSK record single-polarization 64 Gb/s (net 54 Gb/s) 1200 km experimentally demonstrated DSP algorithms.
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ژورنال
عنوان ژورنال: Journal of Lightwave Technology
سال: 2021
ISSN: ['0733-8724', '1558-2213']
DOI: https://doi.org/10.1109/jlt.2021.3084825