Ambiguity resolution in GPS-based, low-cost attitude determination

Fan, S, Zhang, K and Wu, F 2005, 'Ambiguity resolution in GPS-based, low-cost attitude determination', Journal of Global Positioning Systems, vol. 4, pp. 207-214.


Document type: Journal Article
Collection: Journal Articles

Title Ambiguity resolution in GPS-based, low-cost attitude determination
Author(s) Fan, S
Zhang, K
Wu, F
Year 2005
Journal name Journal of Global Positioning Systems
Volume number 4
Start page 207
End page 214
Total pages 7
Publisher International Association of Chinese Professionals in Global Positioning Systems
Abstract Reliable determination of integer ambiguities is a critical issue in high-precision global positioning system (GPS) applications such as kinematic positioning, fast control surveying and attitude determination. This paper discusses the integer ambiguity resolution procedures in attitude determination using single frequency carrier phase measurements. An optimised ambiguity search algorithm is proposed. This method can not only improve the computation efficiency and reduce the time for resolving ambiguities, but also improve the reliability of the ambiguity solution. The ambiguity search space is determined using float solutions and their variance and covariance matrices estimated by applying Kalman filter algorithm. The integer Gaussian transformation is then used to reduce the size of the search space and Cholesky factorisation algorithm is used to improve the efficiency of the integer ambiguity searching process. Finally, an ambiguity validation method by using the known baseline length and the relationship between the primary and secondary ambiguity groups is presented. The algorithms have been implemented within two low-cost Allstar GPS OEM boards. A number of field experiments have been conducted and the results show that a valid integer ambiguity solution in cold start mode can be identified within 3 minutes.
Subject Geodesy
Copyright notice © CPGPS, 2005.
ISSN 1446-3156
Versions
Version Filter Type
Access Statistics: 584 Abstract Views  -  Detailed Statistics
Created: Wed, 18 Feb 2009, 09:53:18 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us