A Positioning Algorithm of AGPS

Author

Li, Jizhong ; Wu, Muqing

Author_Institution

Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2009

fDate

15-17 May 2009

Firstpage

385

Lastpage

388

Abstract

In order to reduce time to first fix (TTFF) and improve the robustness of location, assisted global positioning system (AGPS) is used. In this paper, positioning algorithm in this system is designed and its precision based on real data measured is analyzed. Pseudo range is calculated using fuzzy border disposal through flow structure of AGPS and the data information provided by the system is analyzed. The nonlinear equation groups are recursively solved with Gauss-Newton method. So the location solution is realized in AGPS system. Finally, the positioning algorithm is analyzed in positioning accuracy, time and robustness. The mean positioning bias is less 3.1 meters, the TTFF is less 5 seconds and the location is realized downtown in weak signal condition.

Keywords

Gaussian processes; Global Positioning System; Newton method; fuzzy set theory; nonlinear equations; AGPS positioning algorithm; Gauss-Newton method; assisted global positioning system; fuzzy border disposal method; nonlinear equation; robustness; Algorithm design and analysis; Data analysis; Fuzzy systems; Information analysis; Least squares methods; Newton method; Nonlinear equations; Position measurement; Recursive estimation; Robustness; boundary disposal; navigation principle; nonlinear recursion; positioning performance; translation technology;

fLanguage

English

Publisher

ieee

Conference_Titel

2009 International Conference on Signal Processing Systems

Conference_Location

Singapore

Print_ISBN

978-0-7695-3654-5

Type

conf

DOI

10.1109/ICSPS.2009.80

Filename

5166813