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Error analysis of dead reckoning navigation system by considering uncertainties in an underwater vehicle's sensors

Published online by Cambridge University Press:  28 May 2024

Mohammad Reza Gharib Open the ORCID record for Mohammad Reza Gharib [Opens in a new window] ,
Mahmoud Ardekani Fard Open the ORCID record for Mahmoud Ardekani Fard [Opens in a new window]  and
Ali Koochi Open the ORCID record for Ali Koochi [Opens in a new window]
Mohammad Reza Gharib*
Affiliation:
Department of Mechanical Engineering, University of Torbat Heydarieh, Torbat Heydarieh, Iran
Mahmoud Ardekani Fard
Affiliation:
Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Ali Koochi
Affiliation:
Department of Mechanical Engineering, University of Torbat Heydarieh, Torbat Heydarieh, Iran
*
*Corresponding author: Mohammad Reza Gharib; Email: m.gharib@torbath.ac.ir
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Abstract

In this paper, a complete introduction to the dead reckoning navigation technique is offered after a discussion of the many forms of navigation, and the benefits and drawbacks associated with each of those types of navigation. After that, the dead reckoning navigation solution is used as an option that is both low-cost and makes use of the sophisticated equations that are used by the system. Moreover, to achieve the highest level of accuracy in navigation, an investigation of navigation errors caused by dead reckoning is calculated. Employing the suggested dead reckoning navigation system, the final position of an underwater vehicle can be established with a high degree of accuracy by using experimental data (from sensors) and the uncertainties that are associated with the system. Finally, to illustrate the correctness of the dead reckoning navigation process, the system error analysis as uncertainty that was carried out using experimental data using the dead reckoning navigation technique is compared with GPS data.

Keywords

navigationdead reckoningerror analysissensor uncertainties
Type
Research Article
Information
The Journal of Navigation , First View , pp. 1 - 19
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Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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