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Feature Extraction and Geomagnetic Matching

  • Caifa Guo (a1) (a2), Hong Cai (a1) and G.H.M. van der Heijden (a2)
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.

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Copyright
Corresponding author
(E-mail: g.caifa@ucl.ac.uk)
Linked references
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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

M. Ejaz , J. Iqbal , N. Ahsarr , and A. Nawaz (2009). Robust Geomagnetic Aided Inertial Navigation of Underwater Vehicles using the ICP Algorithm. 2009 Second Asia-Pacific Conference on Computational Intelligence and Industrial Applications, Wuhan, China.

M.M. Li , H.Q. Lu , H. Yin , and X.L. Huang (2011). Novel Algorithm for Geomagnetic Navigation. Journal of Central South University of Technology, 18, 791799.

M.L. Psiaki , and L. Huang (1993). Ground Tests of Magnetometer-Based Autonomous Navigation(MAGNAV) for Low-Earth-Orbiting Spacecraft. Journal of Guidance, Control, and Dynamics, 16, 206214.

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The Journal of Navigation
  • ISSN: 0373-4633
  • EISSN: 1469-7785
  • URL: /core/journals/journal-of-navigation
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