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Feature Extraction and Geomagnetic Matching

Published online by Cambridge University Press:  07 August 2013

Caifa Guo ,
Hong Cai  and
G.H.M. van der Heijden
Caifa Guo*
Affiliation:
(College of Aerospace and Material Engineering, National University of Defence Technology , Changsha, China) (Department of Civil, Environmental & Geomatic Engineering, University College London)
Hong Cai
Affiliation:
(College of Aerospace and Material Engineering, National University of Defence Technology , Changsha, China)
G.H.M. van der Heijden
Affiliation:
(Department of Civil, Environmental & Geomatic Engineering, University College London)
*
(E-mail: [email protected])
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Abstract

In this paper, some improvements in feature extraction for geomagnetic matching are made. Geomagnetic entropy is extracted from the total intensity of the geomagnetic field and its performance for navigation is tested with real geomagnetic data. The matching progress is divided into two phrases: rough matching and precise matching. In the rough matching phase, a sub-region that includes the real position is obtained by using the total intensity of the geomagnetic field as the matching feature. The entropy is applied to precise matching in the sub-region to obtain the final result. Simulations show that the navigation effect is significantly improved with the entropy as an assistant feature. The combined match probability is much better than the results derived from those using only total intensity as the matching feature. This is especially true when the flight vehicle passes through an area without abundant magnetic information.

Keywords

Feature extractionGeomagnetic navigationGeomagnetic matchingEntropy
Type
Research Article
Information
The Journal of Navigation , Volume 66 , Issue 6 , November 2013 , pp. 799 - 811
Copyright
Copyright © The Royal Institute of Navigation 2013 

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References

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