Underwater Navigation Method Based on Side-scan Sonar Images

Authors

  • Ziqi Song College of Underwater Acoustics, Harbin Engineering University, Harbin, China
  • Adam Zielinski University of Victoria
  • Hongyu Bian Harbin Engineering University

Abstract

In recent years, navigation techniques for underwater vehicles including autonomous long range vehicles have been actively researched. This paper proposed a novel underwater navigation method using side-scan sonar images. High-order cumulant was introduced into image analysis. Bispectrum of a real-time side-scan image was calculated and was employed as a template in the following scanning process within a prior known map of seafloor. Mean square difference was chosen to evaluate the similarity at each searching point in order to obtain the best fix estimation. Simulations were done with actual sonar data and the results suggested that the method had good robustness of rotation and noise. Accuracy of the estimate was pixel level that relied on the resolution of side-scan sonar images and could be higher than 1 meter. In flat bottom specially, the method was able to give out robust position estimate and could be used as a good supplement to traditional inertial navigation systems.

Author Biography

Adam Zielinski, University of Victoria

Department of Electrical and Computer Engineering

Additional Files

Published

2015-09-02

How to Cite

1.
Song Z, Zielinski A, Bian H. Underwater Navigation Method Based on Side-scan Sonar Images. Canadian Acoustics [Internet]. 2015 Sep. 2 [cited 2024 Nov. 18];43(3). Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/2746

Issue

Vol. 43 No. 3 (2015)

Section

Proceedings of the Acoustics Week in Canada

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