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Open AccessArticle

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

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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