Proceedings of the Korean Institute of Navigation and Port Research Conference (한국항해항만학회:학술대회논문집)
- Volume 2
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- Pages.247-250
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- 2006
Kinematic GPS Positioning with Baseline Length Constraint Using the Maximum Possibility Estimation Method
- Wang, Xinzhou (School of Geodesy & Geomatics, Wuhan University, Key Laboratory of Geomatics and Digital Technology of Shandong Province, Shandong University of Science and Technology, Research Center for Hazard Monitoring and Prevention, Wuhan University) ;
- Xu, Chengquan (School of Geodesy & Geomatics, Wuhan University, Research Center for Hazard Monitoring and Prevention, Wuhan University)
- Published : 2006.10.18
Abstract
Based on the possibility theory and the fuzzy set, the Maximum Possibility Estimation method and its applications in kinematic GPS positioning are presented in this paper. Firstly, the principle and the optimal criterion of the Maximum Possibility Estimation method are explained. Secondly, the kinematic GPS positioning model of single epoch single frequency with baseline length constraint is developed. Then, the authors introduce the artificial immune algorithm and use this algorithm to search the global optimum of the Maximum Possibility Estimation model. The results of some examples show that the method is efficient for kinematic GPS positioning.
Keywords
- Possibility Theory;
- Fuzzy Number;
- Ambiguity Resolution;
- attitude determination;
- Baseline Length Constraint;
- Artificial Immune Algorithm