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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

With the development of underwater exploration, underwater networking is in urgent demand. At present, underwater wireless optical communication (UWOC) is primarily based on line-of-sight (LOS) communication links. However, the underwater environment is so complicated that LOS communication links are easily affected by a couple of factors such as air bubbles, turbidity, oceanic turbulence, and so on. We put forward novel UWOC links using the total reflection at the air-water interface, which can mitigate those phenomena. This paper aims to investigate a UWOC link based on the total reflection at the air-water interface. In our work, we achieved the maximum data rate of 300 Mb/s and a bit error rate (BER) of 3.10 × 10−3 under the forward error correction (FEC) with the total reflection angle of 7°. Furthermore, we verified the performance of the total reflection-based UWOC links at the air-water interface in the presence of waves and evaluated the impact on the UWOC links when the frequency and amplitude of the waves varied.

Details

Title
The Investigation of Underwater Wireless Optical Communication Links Using the Total Reflection at the Air-Water Interface in the Presence of Waves
Author
Lv, Zhijian 1   VIAFID ORCID Logo  ; He, Gui 2 ; Yang, Hang 2 ; Chen, Rui 2 ; Li, Yuxin 2 ; Zhang, Wenwei 3 ; Qiu, Chengfeng 2 ; Liu, Zhaojun 2   VIAFID ORCID Logo 

 Department of Electrical and Computer Engineering, Southern University of Science and Technology, Shenzhen 518055, China; [email protected] (Z.L.); [email protected] (G.H.); [email protected] (H.Y.); [email protected] (R.C.); [email protected] (Y.L.); [email protected] (C.Q.); Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China; [email protected] 
 Department of Electrical and Computer Engineering, Southern University of Science and Technology, Shenzhen 518055, China; [email protected] (Z.L.); [email protected] (G.H.); [email protected] (H.Y.); [email protected] (R.C.); [email protected] (Y.L.); [email protected] (C.Q.) 
 Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China; [email protected] 
First page
525
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
23046732
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2706285980
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.