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- W2058976914 abstract "Traditionally the popular navigating modes in UAV navigation system are RP (Radio positioning) and GPS (Global Positioning System). But these two kinds of method have their own inherent flaw respectively. The RP (Radio Positioning) system must rely on grand control station, at the same time, it will be disturbed easily and its navigation precise is not good when flying distance is far. The updating rate of GPS is low and the position precise of GPS will descend in shelter area such as foothill and mountainous area. Actually, according to the practical needs and possibility people usually combine many kinds of navigation system so that we can utilize their merit. In this paper, we design a new kind of integrated navigation system combined many kinds of navigation system, such as DNS (DOPPLER Navigation System), TAN (Terrain Aided Navigation) and SMN (Scene Matching Navigation) based on SAR (Synthetic Aperture Radar). This integrated navigation system is based on federal Kalman filtering. The simulation results show that this method can provide satisfactory navigation precise for UAV autonomous fly." @default.
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- W2058976914 date "2006-01-01" @default.
- W2058976914 modified "2023-09-26" @default.
- W2058976914 title "A Study of Information Fusion Based on Federated Kalman Filtering" @default.
- W2058976914 doi "https://doi.org/10.1109/wcica.2006.1712594" @default.
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