• Chinese Optics Letters
  • Vol. 19, Issue 5, 050604 (2021)
Jiaming Lin1, Zihao Du1, Chuying Yu1, Wenmin Ge1, Weichao Lü1, Huan Deng1, Chao Zhang1, Xiao Chen1, Zejun Zhang1、2、3, and Jing Xu1、2、3、*
Author Affiliations
  • 1Optical Communications Laboratory, Ocean College, Zhejiang University, Zhoushan 316021, China
  • 2Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang Province, Ocean College, Zhejiang University, Zhoushan 316021, China
  • 3The Engineering Research Center of Oceanic Sensing Technology and Equipment, Ministry of Education, Zhejiang University, Zhoushan 316021, China
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    DOI: 10.3788/COL202119.050604 Cite this Article Set citation alerts
    Jiaming Lin, Zihao Du, Chuying Yu, Wenmin Ge, Weichao Lü, Huan Deng, Chao Zhang, Xiao Chen, Zejun Zhang, Jing Xu. Machine-vision-based acquisition, pointing, and tracking system for underwater wireless optical communications[J]. Chinese Optics Letters, 2021, 19(5): 050604 Copy Citation Text show less

    Abstract

    Due to the proliferation of underwater vehicles and sensors, underwater wireless optical communication (UWOC) is a key enabler for ocean exploration with a strong reliance on short-range bandwidth-intensive communications. A stable optical link is of primary importance for UWOC. A compact, low-power, and low-cost acquisition, pointing, and tracking (APT) system is proposed and experimentally demonstrated to realign the optical link within 0.04 s, even when the UWOC transmitter and receiver are in relative motion. The system successfully achieves rapid auto-alignment through a 4 m tap water channel with a relatively large number of bubbles. Furthermore, the required minimum illumination value is measured to be as low as 7.1 lx, implying that the proposed APT scheme is robust to dim underwater environments. Meanwhile, mobility experiments are performed to verify the performance of the APT system. The proposed system can rapidly and automatically align moving targets in complex and unstable underwater environments, which can potentially boost the practical applications of UWOC.
    σI2(λ)=I2(λ)I(λ)2I(λ)2,

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    Jiaming Lin, Zihao Du, Chuying Yu, Wenmin Ge, Weichao Lü, Huan Deng, Chao Zhang, Xiao Chen, Zejun Zhang, Jing Xu. Machine-vision-based acquisition, pointing, and tracking system for underwater wireless optical communications[J]. Chinese Optics Letters, 2021, 19(5): 050604
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