Iterative multi-level magnetic matching for UAV navigation

A geomagnetism aided inertial navigation system for UAVs is studied and emphasis is laid on the research of magnetic matching method. In view of specialty of UAV and error properties of inertial navigation system, a simplification is given to the whole one-dimension matching process, which leads to an affine transformation with a compensation step. An iterative multi-level matching method is proposed to get the transform parameters, in which contour constraint and two-stage search strategy are used to reduce the computation burden. In compensation part, a nearest neighbor rule is applied to correlate vehicle position and geomagnetic measurements. Global searching ability and localization precision are both considered. Good performances are observed in both simulation and real experiments.

[1]  Eric N. Johnson,et al.  Vision-Aided Inertial Navigation for Flight Control , 2005 .

[2]  Nicholas M. Patrikalakis,et al.  Geophysical map representation, abstraction and interrogation for autonomous underwater vehicle navigation , 1993 .

[3]  Meiping Wu,et al.  Research on Geomagnetic Matching Method , 2007, 2007 2nd IEEE Conference on Industrial Electronics and Applications.

[4]  In-So Kweon,et al.  Vision-based UAV Navigation in Mountain Area , 2007, MVA.

[5]  Meiping Wu,et al.  Geomagnetism aided inertial navigation system , 2008, 2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics.

[6]  F. Goldenberg,et al.  Geomagnetic Navigation beyond the Magnetic Compass , 2006, 2006 IEEE/ION Position, Location, And Navigation Symposium.

[7]  Lisa M. Brown,et al.  A survey of image registration techniques , 1992, CSUR.

[8]  C. Tyren,et al.  Magnetic terrain navigation , 1987, Proceedings of the 1987 5th International Symposium on Unmanned Untethered Submersible Technology.