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Nonlinear adaptive filters for high-speed LED based underwater visible light communication [Invited]

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Abstract

Underwater visible light communication (UVLC) is expected to act as an alternative candidate in next-generation underwater 5G wireless optical communications. To realize high-speed UVLC, the challenge is the absorption, scattering, and turbulence of a water medium and the nonlinear response from imperfect optoelectronic devices that can bring large attenuations and a nonlinearity penalty. Nonlinear adaptive filters are commonly used in optical communication to compensate for nonlinearity. In this paper, we compare a recursive least square (RLS)-based Volterra filter, a least mean square (LMS)-based digital polynomial filter, and an LMS-based Volterra filter in terms of performance and computational complexity in underwater visible light communication. We experimentally demonstrate 2.325 Gb/s transmission through 1.2 m of water with a commercial blue light-emitting diode. Our goal is to assist the readers in refining the motivation, structure, performance, and cost of powerful nonlinear adaptive filters in the context of future underwater visible light communication in order to tap into hitherto unexplored applications and services.

Newport宣传-MKS新实验室计划
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DOI:10.3788/COL201917.100011

所属栏目:Underwater Wireless Optical Communication

基金项目:This work was partially supported by the National Key Research and Development Program of China (No. 2017YFB0403603), National Natural Science Foundation of China (NSFC) (No. 61571133), and Shanghai SHEITC Software and IC Industry Development Project (No. 170326).

收稿日期:2019-08-25

录用日期:2019-09-12

网络出版日期:2019-10-15

作者单位    点击查看

Nan Chi:Shanghai Institute for Advanced Communication and Data Science, Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai 200433, China
Fangchen Hu:Shanghai Institute for Advanced Communication and Data Science, Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai 200433, China

联系人作者:Nan Chi(nanchi@fudan.edu.cn)

备注:This work was partially supported by the National Key Research and Development Program of China (No. 2017YFB0403603), National Natural Science Foundation of China (NSFC) (No. 61571133), and Shanghai SHEITC Software and IC Industry Development Project (No. 170326).

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