DocumentCode :
3122056
Title :
Challenges in ambiguity resolution: Biases, weak models, and dimensional curse
Author :
Verhagen, S. ; Tiberius, C. ; Bofeng Li ; Teunissen, Peter J. G.
Author_Institution :
Delft Univ. of Technol., Delft, Netherlands
fYear :
2012
fDate :
5-7 Dec. 2012
Firstpage :
1
Lastpage :
8
Abstract :
Next generation Global Navigation Satellite Systems will open the door to a whole new field of applications, for example in Earth observation, construction, and safety-of-life navigation. This implies very high requirements not only on precision and availability, but also on reliability. Integer carrier phase ambiguity resolution is the key to (near) real-time and high-precision GNSS positioning and navigation. The reliability of integer ambiguity estimation depends on the strength of the underlying GNSS model and on the applied integer estimation method. This brings certain challenges and limitations that need to be addressed and have not all been solved so far. The aim of this contribution is to address these remaining challenges and limitations: it will be explained why it is important to do so, and how solutions can be obtained. Experimental results will be used to underpin the importance and potential improvement in terms of precision and/or reliability.
Keywords :
least squares approximations; satellite navigation; Earth observation; GNSS positioning; dimensional curse; integer ambiguity estimation; integer carrier phase ambiguity resolution; next generation Global Navigation Satellite Systems; safety-of-life navigation; weak models; Decorrelation; Delay; Estimation; Global Navigation Satellite Systems; Reliability; Terrestrial atmosphere; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing, (NAVITEC), 2012 6th ESA Workshop on
Conference_Location :
Noordwijk
ISSN :
2325-5439
Print_ISBN :
978-1-4673-2010-8
Type :
conf
DOI :
10.1109/NAVITEC.2012.6423075
Filename :
6423075
Link To Document :
بازگشت