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Sensors 2018, 18(1), 39; https://doi.org/10.3390/s18010039

A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy

College of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
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Received: 31 October 2017 / Revised: 20 December 2017 / Accepted: 21 December 2017 / Published: 25 December 2017
(This article belongs to the Special Issue Bio-Inspiring Sensing)
Full-Text   |   PDF [5342 KB, uploaded 26 December 2017]   |  

Abstract

By simulating the geomagnetic fields and analyzing thevariation of intensities, this paper presents a model for calculating the objective function ofan Autonomous Underwater Vehicle (AUV)geomagnetic navigation task. By investigating the biologically inspired strategies, the AUV successfullyreachesthe destination duringgeomagnetic navigation without using the priori geomagnetic map. Similar to the pattern of a flatworm, the proposed algorithm relies on a motion pattern to trigger a local searching strategy by detecting the real-time geomagnetic intensity. An adapted strategy is then implemented, which is biased on the specific target. The results show thereliabilityandeffectivenessofthe proposed algorithm. View Full-Text
Keywords: autonomous underwater vehicle; geomagnetic navigation; bio-inspired navigation; gradient descent steering algorithm autonomous underwater vehicle; geomagnetic navigation; bio-inspired navigation; gradient descent steering algorithm
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Li, H.; Liu, M.; Liu, K.; Zhang, F. A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy. Sensors 2018, 18, 39.

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