NDLI: Long-Distance Geomagnetic Navigation: Imitations of Animal Migration Based on a New Assumption

Content Provider	IEEE Xplore Digital Library
Author	Zhongwei Zhao Tiancun Hu Wanzhao Cui Jiangtao Huangfu Changzhi Li Lixin Ran
Copyright Year	1980
Abstract	Plenty of evidence has implied that animals like pigeons and sea turtles utilize geomagnetic information for long-distance migration and homing. In this paper, we conduct an ab initio investigation to imitate a migratory animal's geomagnetic homing across a long distance over the surface of the Earth. Based on a simple assumption that such animals have a natural ability to sense and compare the included angle between the vector geomagnetic field (GF) and a specific geographic direction such as the due north, we show that a long-distance geomagnetic navigation (GN) can be accomplished without any assistance of prestored geomagnetic and geographic information, as long as the navigation is inside a vast area where such a spatial angle can uniquely determine a geographic location. Without any requirement of measuring the strength of the GF, this GN will not be visibly affected by the recurrent fluctuation of the GF that severely hampers traditional GN. By introducing the extended-Kalman-filter algorithm, it is able to find a shortcut in the geomagnetic space, overcoming interferences of strong Gaussian and local-area geomagnetic anomaly. We believe that the proposed approach will find a wide range of potential applications in global, local, and indoor navigations based on magnetic field in the future.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	6715
Ending Page	6723
Page Count	9
File Size	1433227
File Format	PDF
ISSN	01962892
Volume Number	52
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Earth Animals Navigation Vectors Terrestrial atmosphere Magnetic cores Sensors geomagnetic navigation (GN) Extended Kalman filter (EKF) geomagnetic field (GF)
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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