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Proceedings Paper

Gravity matching algorithm based on intrinsic features threshold of gravitational field
Author(s): Bing Xia; Hao Wang; She-wei Wang; Jun Tao
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Paper Abstract

In order to improve the precision of gravity matching aided navigation, a gravity correlation coefficient is selected to study the gravitational field intrinsic features using the method of normalized standard deviation firstly. Some statistics laws are identified from the random gravitational field through the statistical analysis of gravity correlation coefficient. So that series of gravity matching conclusions can be drawn. Secondly, a gravity intrinsic features threshold matching algorithm of gravitational field is proposed based on these findings. Finally, the simulation results obtained using the gravity matching algorithm in a gravity aided navigation system show that the threshold can be used to find the better gravity matching areas, enable the integrated navigation system to diverge effectively and increase the accuracy of gravity aided navigation system.

Paper Details

Date Published: 31 December 2010
PDF: 8 pages
Proc. SPIE 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 75443D (31 December 2010); doi: 10.1117/12.886214
Show Author Affiliations
Bing Xia, Changshu Institute of Technology (China)
Hao Wang, Aeronautics Univ. of Air Force (China)
She-wei Wang, Aeronautics Univ. of Air Force (China)
Jun Tao, Aeronautics Univ. of Air Force (China)

Published in SPIE Proceedings Vol. 7544:
Sixth International Symposium on Precision Engineering Measurements and Instrumentation
Jiubin Tan; Xianfang Wen, Editor(s)

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