Monitoring of OSNR Using an Improved Binary Particle Swarm Optimization and Deep Neural Network in C...
Monitoring of OSNR Using an Improved Binary Particle Swarm Optimization and Deep Neural Network in Coherent Optical Systems
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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A novel technique is proposed to implement optical signal-to-noise ratio (OSNR) estimation by using an improved binary particle swarm optimization (IBPSO) and deep neural network (DNN) based on amplitude histograms (AHs) of signals obtained after constant modulus algorithm (CMA) equalization in an optical coherent system. For existing OSNR estimati...
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Monitoring of OSNR Using an Improved Binary Particle Swarm Optimization and Deep Neural Network in Coherent Optical Systems
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TN_cdi_doaj_primary_oai_doaj_org_article_3f5704793e0747609b7c5b67eb14b2f0
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3f5704793e0747609b7c5b67eb14b2f0
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ISSN
2304-6732
E-ISSN
2304-6732
DOI
10.3390/photonics6040111
