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This paper proposes a land vehicle navigation algorithm based on the Global Positioning System (GPS) and the dead reckoning (DR).To achieve high location and velocity accuracy, second order extended Kalman filter (SEKF) is introduced for GPS/DR integrated navigation system. And the algorithm of the first extended Kalman filter (FEKF) and the second EKF (SEKF) are given. Further, the state models and...
This paper proposes a land vehicle navigation algorithm based on the global positioning system (GPS) and the dead reckoning (DR).To achieve high location and velocity accuracy , the extended Kalman filter smoother (EKF-smoother) is introduced for GPS/DR integrated navigation system. And the algorithm of the EKF and the EKF-smoother is given. Further, the state models and the measurement models of...
Several algorithms based on the global positioning system (GPS) and the dead reckoning (DR) are proposed. For comparison purpose, the performance of the GPS/DR integrated navigation system is analyzed with first extended Kalman filter (FEKF), second extended Kalman filter (SEKF) and the Rauch Tung Striebel-smoother (RTS). In this paper, the state models and measurement models of GPS /DR are set up...
A positioning algorithm based on a Global Positioning System (GPS) and inertial navigation system (INS) is proposed, so that the navigation accuracy of high speed trains is improved. In this paper, the error sources of INS and GPS are analyzed respectively, and then the error state models are set up. Furthermore, the INS/GPS integrated navigation system based on the information of GPS and INS is modeled...
A positioning algorithm based on a Kalman smoother is proposed, and the performance of the INS/GPS integrated navigation system is improved. In this paper, the error sources of inertial navigation system (INS) and Global Positioning System (GPS) are analyzed respectively, and then the error state models are set up. Furthermore, the INS/GPS integrated navigation system based on the information of GPS...
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