DocumentCode
2832108
Title
Densification algorithm research on gravity gradiometer reference map generation
Author
Yao, Zou ; Xiaorong, Shen
Author_Institution
Dept. of Autom. Sci. & Electr. Eng., BeiHang Univ., Beijing, China
fYear
2012
fDate
June 30 2012-July 2 2012
Firstpage
315
Lastpage
320
Abstract
Gravity gradient aided inertial navigation system is of a great significance for long-endurance passive automatic navigation. Under the circumstance that the actual gravity gradient data cannot be measured with the gradiometer, the map generation methods calculated by digital elevation model were researched. In order to generate high-resolution full-tensor gravity gradient maps, several densification algorithms, such as the Lagrange Interpolation Method, the Cubic Convolution Interpolation Method, the Improved Shepard Interpolation Method and the Radial Basis Function Interpolation Method were presented and compared.
Keywords
cartography; convolution; densification; inertial navigation; interpolation; radial basis function networks; Lagrange interpolation method; cubic convolution interpolation method; densification algorithm research; gravity gradient aided inertial navigation system; gravity gradiometer reference map generation; high-resolution full-tensor gravity gradient maps; improved Shepard interpolation method; long-endurance passive automatic navigation; radial basis function interpolation method; Convolution; Gravity; Interpolation; Navigation; Polynomials; Root mean square; Standards; Densification Algorithm; Digital Elevation Model; Gravity Gradient Reference Map;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science and Engineering (ICSSE), 2012 International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-1-4673-0944-8
Electronic_ISBN
978-1-4673-0943-1
Type
conf
DOI
10.1109/ICSSE.2012.6257198
Filename
6257198
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