DocumentCode
1731243
Title
GPS-based attitude determination using RLS and LAMBDA methods
Author
Oliazadeh, Nasim ; Landry, Rene ; Yeste-Ojeda, Omar A. ; Gagnon, Eric ; Wong, Franklin
Author_Institution
LASSENA Lab., Ecole de Technol. Super., Montreal, QC, Canada
fYear
2015
Firstpage
1
Lastpage
7
Abstract
This work presents a procedure for getting 3D attitude from GPS raw measurements. The method is based on differential GPS and uses four receivers; although it can be easily generalized. The disposition of the receivers is fixed in the body frame, as attached to a rigid platform that moves freely in the local navigation frame. Baseline estimation is performed through a Recursive Least Squares (RLS) algorithm using code and carrier phase measurements. This work is an extension to the work of Chang et al. (2005) to multiple roving receivers, and where the LAMBDA method has been used for integer ambiguity resolution. The dispositions of receivers are known a priori, and this information used to constrain the solution at each epoch. Finally, 3D attitude is determined from the estimated baselines using the SVD method. The performance of the proposed method is evaluated through simulation. The results show significant enhancement with respect to the original method as well as with comparison with previous work in literature.
Keywords
Global Positioning System; attitude measurement; least squares approximations; singular value decomposition; 3D attitude; GPS based attitude determination; LAMBDA method; RLS method; SVD method; baseline estimation; differential GPS; integer ambiguity resolution; local navigation frame; multiple roving receiver; recursive least squares algorithm; Estimation error; Global Positioning System; Phase measurement; Position measurement; Receivers; Ambiguity resolution; Attitude determination; GNSS; GPS; LAMBDA algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Localization and GNSS (ICL-GNSS), 2015 International Conference on
Conference_Location
Gothenburg
Type
conf
DOI
10.1109/ICL-GNSS.2015.7217146
Filename
7217146
Link To Document