An improved ADPAM algorithm

Author

Jimin Liu ; Changqing Yan ; Mingfang Fan ; Chen Liu

Author_Institution

Dept. of Inf. Eng., Shandong Univ. of Sci. & Technol., Taian, China

fYear

2013

fDate

20-22 June 2013

Firstpage

1

Lastpage

4

Abstract

In order to solve the ill-conditioned problem in GPS rapid positioning, an improved algorithm for ADPAM was proposed. By computing the optimal mirror plane, this algorithm achieved a maximized angle between the projected epoch subspace and its adjacent epoch. Thus, the optimization of ADPAM is implemented. For illustration, a measured GPS example is utilized to validate this algorithm and the results show this method has higher accuracy than several commonly used estimation methods even ADPAM. Consequently, it can be concluded that this method has better results for the solution of serious ill-conditioned problems.

Keywords

Global Positioning System; geophysical techniques; optimisation; ADPAM optimization; GPS rapid positioning; adjacent epoch; higher accuracy method; ill-conditioned problem; improved ADPAM algorithm validation; maximized angle; optimal mirror plane computing; projected epoch subspace; serious ill-conditioned problem solution; several commonly used estimation methods; Equations; Estimation; Global Positioning System; Mathematical model; Mirrors; Satellites; Vectors; GPS rapid positioning; ill-condition; mirroring plane; observation structure; optimal ADPAM;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on

Conference_Location

Kaifeng

ISSN

2161-024X

Type

conf

DOI

10.1109/Geoinformatics.2013.6626136

Filename

6626136