A new approach to geomagnetic matching navigation

Ge Zhi-lei, Zhou Jun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A new method of global optimal matching theory based on linear drawing of geomagnetic filed is proposed and researched. Navigation system based on the geomagnetic field has no accumulated error, and it is not influenced by weather, terrain and other factors as it is passive. Thus, geomagnetic navigation has good potentials to be an assistant method for other navigation systems such as inertial navigation system. The matching navigation method avoids the disadvantages of Kalman filter because it makes use of a set of relative information. In the literatures, the forming principle of linear drawing is discussed. A necessary global optimal matching technique is researched because matching a linear drawing with a standard planar chart results in infinite instances and the previous mismatch will affect the following process. Correlation method is applied in the matching process for its simpleness. Genetic simulated annealing algorithm is applied in the optimal researching process for its rapid convergence and global optimization. Mathematical simulations are carried out to verify the correctness and efficiency of the new solution. The results are listed in the end, which prove the Tightness of the methods proposed in this paper.

Original languageEnglish
Title of host publicationSecond International Conference on Space Information Technology
DOIs
StatePublished - 2007
Event2nd International Conference on Space Information Technology - Wuhan, China
Duration: 10 Nov 200711 Nov 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6795
ISSN (Print)0277-786X

Conference

Conference2nd International Conference on Space Information Technology
Country/TerritoryChina
CityWuhan
Period10/11/0711/11/07

Keywords

  • Genetic simulated annealing algorithm
  • Geomagnetic navigation
  • Global optimal algorithm
  • Linear drawing
  • Matching

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