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Fuzzy Rule-Based Signal Restoration for Wireless Optical Communication of Multi-autonomous Underwater Vehicles

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Abstract

As a complex process, wireless optical communication of autonomous underwater vehicles (AUVs) is particularly challenging in the complex communication environment. Therefore, the existing control or denoise systems show some limitations for communication system of multi-AUV. It is still difficult to balance between the complexity of underwater environment and the performance of reality or estimation. This paper is about to investigate the possibility of combining this realistic communication environment for AUVs with existing strategies in fuzzy control framework. More specifically, first, a model for underwater wireless optical communication (UWOC) is proposed, then, signal restore model for UWOC based on fuzzy control is developed for simulation and analysis purposes. To illustrate the superiority of the proposed methods, several common denoising methods are experimented and compared together. It is also shown that the fuzzy control for signal restore model can well adapt to the real communication environment, and ensure more efficiency and stabilization.

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Authors and Affiliations

  1. Henan University, Kaifeng, China

    Yu Hao, Yuzong Gu & Yanbo Zhang

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  1. Yu Hao
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  2. Yuzong Gu
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  3. Yanbo Zhang
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Correspondence to Yanbo Zhang.

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Hao, Y., Gu, Y. & Zhang, Y. Fuzzy Rule-Based Signal Restoration for Wireless Optical Communication of Multi-autonomous Underwater Vehicles. Int. J. Fuzzy Syst. 23, 1840–1848 (2021). https://doi.org/10.1007/s40815-020-00935-5

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  • DOI: https://doi.org/10.1007/s40815-020-00935-5

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