Performance Enhancement Scheme for RSE-Based Underwater Optical Camera Communication Using De-Bubble Algorithm and Binary Fringe Correction

Zihao Zhou,Zhijian Chen,Shangsheng Wen,Wenxi Xu,Yue Li,Weipeng Guan

doi:10.3390/electronics10080950

Zihao Zhou, Zhijian Chen + Show 4 more

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https://doi.org/10.3390/electronics10080950

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Journal: Electronics	Publication Date: Apr 16, 2021
Citations: 12	License type: CC BY 4.0

Affiliation: South China University of Technology

Abstract

Optical camera communications (OCC) has been growing rapidly in recent years, which offers a flexible and low-cost way to achieve underwater wireless optical communication (UWOC). However, the existence of underwater bubbles and suspended impurities will greatly decrease the signal quality. In this paper, we propose a de-bubble algorithm and a sampling scheme based on binary fringes correction (BFC) to enhance the communication quality. The experimental results demonstrate that a robust transmission can be achieved in the harsh bubble environment by applying the proposed two algorithms.

Highlights

Underwater wireless optical communication (UWOC) has gained a lot of interest over the past few years, and provides better security, lower time delay, higher bandwidth [1], and is more compatible with underwater ecosystems
Taking the issue of sampling point offset (SPO) into account, we propose a novel sampling scheme based on binary fringe correction (BFC), which can effectively alleviate the problem of SPO and further enhance the performance of underwater optical camera communication (UOCC)
The main objective of this paper was to test the performance of a rolling shutter effect (RSE)-based underwater optical camera communication (UOCC) system under the condition of bubble interference, and to verify the performance improvement of the proposed de-bubble algorithm and binary fringe correction (BFC) scheme

Summary

Introduction

Underwater wireless optical communication (UWOC) has gained a lot of interest over the past few years, and provides better security, lower time delay, higher bandwidth [1], and is more compatible with underwater ecosystems. Most existing UWOC systems utilize PDs as the receivers due to their high reception bandwidth and response speed and because they can achieve an extremely high data rate [2]. In the past, image sensors were not widely adopted by academia due to their high price, low resolution, and low achievable data rate. With the great leap with regard to price and performance of image sensor technology, the vast majority of underwater detection equipment has built-in high-resolution image sensors. This motivates the development of underwater optical camera communication (UOCC), which offers a more flexible and convenient way to achieve UWOC [3]

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