Clustering Algorithm for Detection in the Discrete Nonlinear Fourier Spectrum

Title:: Clustering Algorithm for Detection in the Discrete Nonlinear Fourier Spectrum
Document type:: Konferenzbeitrag
Author(s):: Leible, Benedikt; García-Gómez, Francisco Javier; Hanik, Norbert
Abstract:: Expectation maximization clustering of received nonlinear spectral data from solitonic pulses is used to reduce bit error rates. Simulations over a 1800 km Raman amplified fiber link demonstrate the effectiveness of the method.
Book / Congress title:: 45th European Conference on Optical Communication (ECOC 2019)
Year:: 2019
Month:: Sep
Fulltext / DOI:: doi:10.1049/cp.2019.0943
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