Underwater target tracking in three-dimensional environment using intelligent sensor technique

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...

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Bibliographic Details
Published inInternational journal of pervasive computing and communications Vol. 18; no. 3; pp. 319 - 334
Main Authors Omkar Lakshmi Jagan B, Koteswara Rao S, Kavitha, Lakshmi M
Format Journal Article
LanguageEnglish
Published Bingley Emerald Group Publishing Limited 23.06.2022
Subjects
Acoustics
Algorithms
Kalman filters
Localization
Marine environment
Marine resources
Propagation
Satellites
Sensor arrays
Sensors
Tracking
Underwater
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Summary: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.
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ISSN:1742-7371
1742-738X
DOI:10.1108/IJPCC-07-2021-0154