DocumentCode
1910389
Title
Using Known Base Vector Length as Quasi-Observation to Improve GPS Ambiguity Resolution
Author
Lilong, Liu ; Lihong, Jin ; Hongyan, Wen
Author_Institution
Dept. of Civil Eng., Guilin Univ. of Technol., Guilin, China
Volume
4
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
117
Lastpage
120
Abstract
The least-square ambiguity decorrelation adjustment method(LAMBDA)is one of the most appropriate techniques for GNSS carrier phase ambiguity resolution. The LAMBDA method is an algorithm for searching the most likely integer ambiguity combination. Based on a floating least-squares estimation of integer ambiguities, it minimizes the quadratic norm of the residuals. In the paper the use of known base vector length during ambiguity resolution of arrier phase measurements is considered. The comparisons of correct ambiguity resolution probabilities in the cases when the base vector length information is used and unused are given.
Keywords
least squares approximations; satellite navigation; GNSS carrier phase ambiguity resolution; GPS ambiguity resolution; base vector length; floating least-squares estimation; least-square ambiguity decorrelation adjustment method; quasi-observation; Appropriate technology; Automation; Civil engineering; Educational institutions; Geology; Global Positioning System; Phase measurement; Receiving antennas; Satellite navigation systems; Signal resolution; GPS; Quasi-observation; success rate of the integer ambiguity;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.745
Filename
5288227
Link To Document