Title :
The Application of Adaptive Genetic Algorithm in GPS Attitude Determination
Author :
Yandong Wang ; Kui Chen ; Huafeng Hu ; Shaoshuai Yang ; Qingchang Ji
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Abstract :
In this paper, the adaptive genetic algorithm combined with the whitening filter is proposed to search for correct ambiguities for GPS attitude determination system. First of all, the float ambiguities are carried out by Kalman filter, and then the whitening transformation is used to reduce higher correlation of integer ambiguities. Finally, the decorrelated ambiguities are searched in the transformed search space using adaptive genetic algorithm. The experimental results demonstrate that the proposed approach is feasible and efficient for GPS attitude determination system.
Keywords :
Global Positioning System; Kalman filters; attitude measurement; decorrelation; genetic algorithms; search problems; GPS attitude determination system; Kalman filter; adaptive genetic algorithm; ambiguity correction; correlation reduction; decorrelated ambiguities; integer ambiguities; transformed search space; whitening filter; whitening transformation; Decorrelation; Genetic algorithms; Genetics; Global Positioning System; Mathematical model; Position measurement; Vectors; GPS attitude determination; Kalman filter; adaptive genetic algorithm; integer ambiguity; whitening filter;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-5034-1
DOI :
10.1109/IMCCC.2012.17
