Fiber Nonlinearity Equalizer Based on Support Vector Classification for Coherent Optical OFDM

Autor:	Sofien Mhatli, Tu Nguyen, Elias Giacoumidis, Marc Wuilpart, Ludo Van Compernolle, Patrice Mégret
Rok vydání:	2016
Předmět:	lcsh:Applied optics. Photonics Support vector machine Computer science Orthogonal frequency-division multiplexing business.industry lcsh:TA1501-1820 Adaptive equalizer fiber nonlinearity equalizer 02 engineering and technology Multiplexing Atomic and Molecular Physics and Optics Quadrature (mathematics) Nonlinear system 020210 optoelectronics & photonics Transmission (telecommunications) 0202 electrical engineering electronic engineering information engineering lcsh:QC350-467 Electrical and Electronic Engineering Telecommunications business Algorithm artificial neural network lcsh:Optics. Light Quadrature amplitude modulation
Zdroj:	IEEE Photonics Journal, Vol 8, Iss 2, Pp 1-9 (2016)
ISSN:	1943-0647 1943-0655
Popis:	A support vector machine (SVM)-based classification nonlinear equalizer (NLE) is demonstrated, for the first time, in coherent optical orthogonal frequency-division multiplexing (CO-OFDM). For a 40-Gb/s 16 quadrature amplitude modulated (16QAM) CO-OFDM system at 400 km of transmission, SVM-NLE reduces the fiber-induced nonlinearity penalty by about 1 dB in comparison to the benchmark artificial-neural-network (ANN)-based and inverse-Volterra-series-transfer-function-based NLEs.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac14486b1e1b3c731d2971baf69bef49 https://doi.org/10.1109/jphot.2016.2528886 Zobrazit plný text záznamu