Underwater target tracking in three-dimensional environment using intelligent sensor technique
International Journal of Pervasive Computing and Communications
ISSN: 1742-7371
Article publication date: 21 January 2022
Issue publication date: 23 June 2022
Abstract
Purpose
This paper aims to target tracking in the marine environment is typically obtained by considering the measurement parameters like frequency, elevation and bearing. Marine environmental surveillance provides critical information and assistance for the exploitation and maintenance of marine resources.
Design/methodology/approach
With the use of intelligent sensor techniques like Hull-mounted and towed array sensors, convenient, precise and dependable three-dimensional (3D) underwater target tracking is introduced.
Findings
This research investigates a method to develop a reliable Unscented Kalman Filter (UKF) algorithm for enhanced underwater target tracking in a 3D scenario by using bearing, frequency and elevation measurements. In applications for underwater target tracking, uncertainty and inaccuracies are typically described by using Gaussian additive noise.
Originality/value
The proposed UKF algorithm is tested and analyzed using 100 Monte Carlo simulations with the Gaussian generated noise.
Keywords
Acknowledgements
Conflict of Interest: There is no conflict of interest.
Funding: This research received no external funding.
Citation
B., O.L.J., S., K.R. and M., K.L. (2022), "Underwater target tracking in three-dimensional environment using intelligent sensor technique", International Journal of Pervasive Computing and Communications, Vol. 18 No. 3, pp. 319-334. https://doi.org/10.1108/IJPCC-07-2021-0154
Publisher
:Emerald Publishing Limited
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