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A Fast Sound Ray Tracking Method for Ultra-short Baseline Positioning

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Artificial Intelligence and Security (ICAIS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12736))

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Abstract

The basic principle of the ultra-short baseline (USBL) positioning system is to calculate the slant distance and azimuth between the underwater measurement target and the ultra-short baseline array through the different time delay between the underwater response signal and each receiving point, and finally calculate the position information of the target. When the number of vertical layers in the sound velocity profile is large, the calculation amount of using the equal gradient method is large. Based on the principle of equal gradient sound line tracking, this paper proposes a gradient difference based sound line adaptive layering method, which can eliminate the redundant layering points and the points whose sound velocity changes exceed the set threshold, simplify the sound velocity profile and improve the efficiency of sound line tracking. In this paper, the layered results under different thresholds are given through simulation experiments. By adjusting the threshold value, the calculation amount of this method can be reduced by 40% to 70%, and the deviation of slant distance is less than 1% compared with the equal gradient ray tracing method.

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Funding

This work is supported by National Key R&D Program, China [2017YFC0306100] and National Natural Science Foundation of China under Grant No. 61671202

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Authors and Affiliations

  1. College of Internet of Things Engineering, Hohai University, Changzhou, 213022, China

    Rong Zhang, Jian Li, Jinxiang Zhang & Zexi Wang

Authors
  1. Rong Zhang
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  2. Jian Li
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  3. Jinxiang Zhang
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  4. Zexi Wang
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Corresponding author

Correspondence to Jian Li .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Xiaorui Zhang

  3. Jinan University, Guangzhou, China

    Zhihua Xia

  4. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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The authors declare that they have no conflicts of interest to report regarding the present study.

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Zhang, R., Li, J., Zhang, J., Wang, Z. (2021). A Fast Sound Ray Tracking Method for Ultra-short Baseline Positioning. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2021. Lecture Notes in Computer Science(), vol 12736. Springer, Cham. https://doi.org/10.1007/978-3-030-78609-0_54

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  • DOI: https://doi.org/10.1007/978-3-030-78609-0_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78608-3

  • Online ISBN: 978-3-030-78609-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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