Deep Learning-Based Cascaded Light Source Detection for Link Alignment in Underwater Wireless Optical Communication-Reference-Cited by-同舟云学术

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Deep Learning-Based Cascaded Light Source Detection for Link Alignment in Underwater Wireless Optical Communication

Published:2024-10 Issue:5 Volume:16 Page:1-12
ISSN:1943-0655
Container-title:IEEE Photonics Journal
language:
Short-container-title:IEEE Photonics J.

Author:

Jia Bowen¹^ORCID,Ge Wenmin²,Cheng Jingxuan²^ORCID,Du Zihao²,Wang Renming¹,Song Guangbin¹,Zhang Yufan²^ORCID,Cai Chengye²^ORCID,Qin Sitong²,Xu Jing¹^ORCID

Affiliation:

1. Hainan Institute of Zhejiang University, Sanya, China

2. Optical Communications Laboratory, Ocean College, Zhejiang University, Zhoushan, China

Funder

Key Research and Development Program of Hainan Province

Project of Sanya Yazhou Bay Science and Technology City

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4563994/10632182/10663260.pdf?arnumber=10663260

Reference34 articles.

1. Recent Advances and Future Directions on Underwater Wireless Communications

2. Recent progress in and perspectives of underwater wireless optical communication

3. 100-m/3-Gbps underwater wireless optical transmission using a wideband photomultiplier tube (PMT)

4. 200-m/500-Mbps underwater wireless optical communication system utilizing a sparse nonlinear equalizer with a variable step size generalized orthogonal matching pursuit

5. Discrete multitone transmission for underwater optical wireless communication system using probabilistic constellation shaping to approach channel capacity limit

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