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Decision-Feedback Detection Strategy for Nonlinear Frequency-Division Multiplexing
- Source :
- Stella Civelli, Enrico Forestieri, and Marco Secondini, "Decision-feedback detection strategy for nonlinear frequency-division multiplexing," Opt. Express 26, 12057-12071 (2018)
- Publication Year :
- 2018
-
Abstract
- By exploiting a causality property of the nonlinear Fourier transform, a novel decision-feedback detection strategy for nonlinear frequency-division multiplexing (NFDM) systems is introduced. The performance of the proposed strategy is investigated both by simulations and by theoretical bounds and approximations, showing that it achieves a considerable performance improvement compared to previously adopted techniques in terms of Q-factor. The obtained improvement demonstrates that, by tailoring the detection strategy to the peculiar properties of the nonlinear Fourier transform, it is possible to boost the performance of NFDM systems and overcome current limitations imposed by the use of more conventional detection techniques suitable for the linear regime.
- Subjects :
- Computer Science - Information Theory
Subjects
Details
- Database :
- arXiv
- Journal :
- Stella Civelli, Enrico Forestieri, and Marco Secondini, "Decision-feedback detection strategy for nonlinear frequency-division multiplexing," Opt. Express 26, 12057-12071 (2018)
- Publication Type :
- Report
- Accession number :
- edsarx.1801.05338
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1364/OE.26.012057