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  • Received: Aug. 25, 2019

    Accepted: Sep. 12, 2019

    Posted: Oct. 15, 2019

    Published Online: Oct. 15, 2019

    The Author Email: Nan Chi (nanchi@fudan.edu.cn)

    DOI: 10.3788/COL201917.100011

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    Nan Chi, Fangchen Hu. Nonlinear adaptive filters for high-speed LED based underwater visible light communication [Invited][J]. Chinese Optics Letters, 2019, 17(10): 100011

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Chinese Optics Letters, Vol. 17, Issue 10, 100011 (2019)

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

Nan Chi*, and Fangchen Hu

Author Affiliations

  • Shanghai Institute for Advanced Communication and Data Science, Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai 200433, China

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.