Filter Features Extraction from Optical Spectra

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Dec 2020 Spain Publisher:IEEEJournal:2020 European Conference on Optical Communications (ECOC)Funded by:EC | ONFIRE

Authors: Locatelli, Fabiano; Christodoulopoulos, Konstantinos; Fàbrega Sánchez, Josep Maria; Svaluto Moreolo, Michela; Nadal Reixats, Laia; Spadaro, Salvatore;

doi: 10.1109/ecoc48923.2020.9333342 , 10.5281/zenodo.4459337 , 10.5281/zenodo.4459338

handle: 2117/338192

Filter Features Extraction from Optical Spectra

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Abstract

We propose a method to estimate the central frequency and the bandwidth of optical filters, that relies on optical spectra captured with optical channel monitors at ROADM’s ingress port. We demonstrate for both features high estimation accuracy using simulated and experimental data.

Country

Spain

Related Organizations

Universitat Polite`cnica de Catalunya
Spain
Universitat Politècnica de Catalunya
Spain
Universitat Polit?cnica de Catalunya
Spain
Bell Labs
United States
Centre Tecnologic De Telecomunicacions De Catalunya
Spain

Keywords

NO KEYWORDS, Optical communications, Machine learning, Comunicacions òptiques, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica::Fibra òptica, Optical fibers, Fibres òptiques, Optical filters, Optical spectrum

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