Gravity matching algorithm based on intrinsic features threshold of gravitational field

Bing Xia; Hao Wang; She-wei Wang; Jun Tao

doi:10.1117/12.886214

31 December 2010 Gravity matching algorithm based on intrinsic features threshold of gravitational field

Bing Xia, Hao Wang, She-wei Wang, Jun Tao

Proceedings Volume 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation; 75443D (2010) https://doi.org/10.1117/12.886214
Event: Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 2010, Hangzhou, China

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.

Citation Download Citation

Bing Xia, Hao Wang, She-wei Wang, and Jun Tao "Gravity matching algorithm based on intrinsic features threshold of gravitational field", Proc. SPIE 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 75443D (31 December 2010); https://doi.org/10.1117/12.886214

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