Alternative decoding methods for optical communications based on nonlinear fourier transform

Tao Gui, Terence H. Chan, Chao Lu, Pak Tao Lau, Ping Kong Alexander Wai

Research output: Journal article publicationJournal articleAcademic researchpeer-review

61 Citations (Scopus)

Abstract

Long-haul optical communications based on nonlinear Fourier Transform have gained attention recently as a new communication strategy that inherently embrace the nonlinear nature of the optical fiber. For communications using discrete eigenvalues λ ∈ ℂ+, information are encoded and decoded in the spectral amplitudes q(λ) = b(λ)/(da(λ)/dλ) at the root λrtwhere a(λrt) = 0. In this paper, we propose two alternative decoding methods using a(λ) and b(λ) instead of q(λ) as decision metrics. For discrete eigenvalue modulation systems, we show that symbol decisions usinga(λ) at a prescribed set of λ values perform similarly to conventional methods using q(λ) but avoid root searching, and, thus, significantly reduce computational complexity. For systems with phase and amplitude modulation on a given discrete eigenvalue, we propose to use b(λ) after for symbol detection and show that the noise in da(λ)/dλ and λrtafter transmission is all correlated with that in b(λrt). A linear minimum mean square error estimator of the noise in b(λrt) is derived based on such noise correlation and transmission performance is considerably improved for QPSK and 16- quadratic-amplitude modulation systems on discrete eigenvalues.
Original languageEnglish
Article number7820102
Pages (from-to)1542-1550
Number of pages9
JournalJournal of Lightwave Technology
Volume35
Issue number9
DOIs
Publication statusPublished - 1 May 2017

Keywords

  • Fiber nonlinearity
  • noise
  • nonlinear Fourier transform

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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