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http://dx.doi.org/10.12989/ose.2019.9.4.391

Low energy ultrasonic single beacon localization for testing of scaled model vehicle  

Dubey, Awanish C. (Department of Ocean Engineering, Indian Institute of Technology)
Subramanian, V. Anantha (Department of Ocean Engineering, Indian Institute of Technology)
Kumar, V. Jagadeesh (Department of Electrical Engineering, Indian Institute of Technology)
Publication Information
Ocean Systems Engineering / v.9, no.4, 2019 , pp. 391-407 More about this Journal
Abstract
Tracking the location (position) of a surface or underwater marine vehicle is important as part of guidance and navigation. While the Global Positioning System (GPS) works well in an open sea environment but its use is limited whenever testing scaled-down models of such vehicles in the laboratory environment. This paper presents the design, development and implementation of a low energy ultrasonic augmented single beacon-based localization technique suitable for such requirements. The strategy consists of applying Extended Kalman Filter (EKF) to achieve location tracking from basic dynamic distance measurements of the moving model from a fixed beacon, while on-board motion sensor measures heading angle and velocity. Iterative application of the Extended Kalman Filter yields x and y co-ordinate positions of the moving model. Tests performed on a free-running ship model in a wave basin facility of dimension 30 m by 30 m by 3 m water depth validate the proposed model. The test results show quick convergence with an error of few centimeters in the estimated position of the ship model. The proposed technique has application in the real field scenario by replacing the ultrasonic sensor with industrial grade long range acoustic modem. As compared with the existing systems such as LBL, SBL, USBL and others localization techniques, the proposed technique can save deployment cost and also cut the cost on number of acoustic modems involved.
Keywords
Low Energy Ultrasonic based Beacon (LEUB); Extended Kalman Filter (EKF); Autonomous Surface Vehicle/ Underwater Vehicle (ASV/UV);
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