The Application of Adaptive Genetic Algorithm in GPS Attitude Determination

The Application of Adaptive Genetic Algorithm in GPS Attitude Determination

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 c...

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Bibliographische Detailangaben
Hauptverfasser: Yandong Wang, Kui Chen, Huafeng Hu, Shaoshuai Yang, Qingchang Ji
Format: Tagungsbericht
Sprache:eng
Schlagworte:
adaptive genetic algorithm
Decorrelation
Genetic algorithms
Genetics
Global Positioning System
GPS attitude determination
integer ambiguity
Kalman filter
Mathematical model
Position measurement
Vectors
whitening filter
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/IMCCC.2012.17