The Research of Dynamic Tracking Algorithm Based on Hybrid Positioning System
In signal-degraded environments such as dense urban area and indoor environment, GPS (Global Positioning System) signals are either blocked or strongly degraded by natural and artificial obstacles, which cannot meet the surging demands for position information, the combination of different GNSS (Global Navigation Satellite System) could be a suitable approach to fill this gap. This paper presents a hybrid positioning method combining GPS and GLONASS, simulation results show that Extended Kalman Filter Algorithm is an effective method to deal with data fusion in hybrid positioning system, so this system can improve the positioning accuracy in the environment without enough GPS satellites.
KeywordsGPS GLONASS Integrated navigation Extended Kalman filter
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