Fiber Nonlinear Impairment Compensation based on Multi-source Domain Transfer Learning

【Objective】In recent years, equalizer based on Neural Network (NN) has been widely used in optical fiber nonlinear impairment compensation. However, in practical application, it needs to consume a lot of resources to retrain NN to adapt to optical communication system in new environment. Transfer le...

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Dettagli Bibliografici

Autori principali:	CHEN Zhixuan, CAI Ju, ZHANG Hongbo, ZHANG Min, WAN Feng, DU Jie, LIU Jiao, ZHANG Qianwu
Natura:	Artigo
Lingua:	Chinês
Pubblicazione:	《光通信研究》编辑部 2025-02-01
Serie:	Guangtongxin yanjiu
Soggetti:	optical communication system nonlinear impairment compensation CNN BiLSTM transfer learning
Accesso online:	http://www.gtxyj.com.cn/thesisDetails#10.13756/j.gtxyj.2025.230147
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