Given the research work presents the results of GPS systems for dynamic precision estimation, using the real time kinematic (RTK) phase measurements of position with two receivers. Receiver's antennas have constant distance between them. The network of base stations EUPOS-Riga and LATPOS was used to correct errors. State estimation results are presented as well. The GPRS data exchange among correctional station and receivers was used. The results of precision estimation reveal that centimetre accuracy may be achieved using the fixed solution. Precision of state estimation (course and roll angles) depends on antennas base.
This paper presents an algorithm based on Kalman filtering approach that is used to estimate position and heading of a land vehicle. Source of data for the system are acquisition of low cost (Global Positioning System) GPS receiver, low cost (microelectromechanical systems) MEMS gyroscope and odometer sensor. The algorithm allows defining current position and heading of vehicle when GPS signal is unavailable. To demonstrate the estimation performance of algorithm the number of experiments was performed. As the result obtained data is described in this paper.
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