Electronic Compass Calibration in Pedestrian Navigation System

Article Preview

Abstract:

In this paper, a kind of pedestrian navigation system (PNS) that based on Earth’s magnetic field is introduced, and the error of the build-in electronic compass is analyzed, and an efficient calibration algorithm is presented. The PNS is determined pedestrian’s movement locus by calculating the heading angle and analyzing the movement characteristic, and then using the dead reckoning algorithm to combine the information together. The precision of PNS is affected by the error of the electric compass, because the heading angle is calculated from the magnetic field data measured by the compass. In order to reduce the measure error, a direct method which is used to calibrate the compass, based on ellipsoid fitting, is developed.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

1246-1250

Citation:

Online since:

March 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Wei Chen, Zhongqian Fu, Ruizhi Chen, et al. An integrated GPS and multi-sensor pedestrian positioning system for 3D urban navigation, J. IEEE, 978-1-4244-3461-9/09, (2009).

DOI: 10.1109/urs.2009.5137690

Google Scholar

[2] KIM J W, JANG H J, HWANG D H, et al. A step, stride and heading determination for the pedestrian navigation system, J. Journal of Global Positioning Systems, 2004, 3(1-2): 273-279.

DOI: 10.5081/jgps.3.1.273

Google Scholar

[3] M. J. Caruso. Application of magneto-resistive sensors in navigation systems, J. Sensors and Actuators, 1997, SAE SP-1220: 15-21.

Google Scholar

[4] Jiancheng Fang, Hongwei Sun, Juanjuan Cao, , et al. A Novel Calibration Method of Magnetic Compass Based on Ellipsoid Fitting, J. IEEE Transactions on Instrumentation and Measurement, 2011, 60(6): 2053-(2061).

DOI: 10.1109/tim.2011.2115330

Google Scholar

[5] Nikos Grammalidis, Michael G. Strintzis. Head Detection and Tracking by 2-D and 3-D Ellipsoid Fitting, J. Proc. IEEE Int. Conf. Comput. Graph., 2000, 221–226.

DOI: 10.1109/cgi.2000.852337

Google Scholar

[6] A.W. Fitzgibbon, M. Pilu, and R. Fisher. Direct Least Squares Fitting of Ellipses, J. In Proc. International Conference on Pattern Recognition, Vienna, Austria, (1996).

DOI: 10.1109/icpr.1996.546029

Google Scholar

[7] R. Halir, J. Flusser, Numerically stable direct least squares fitting of ellipses, J. Proc. Int. Conf. Central Eur. Comput. Graph., 1998, 125–132.

Google Scholar