BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF Algorithm
AbstractThe Global Navigation Satellite System can provide all-day three-dimensional position and speed information. Currently, only using the single navigation system cannot satisfy the requirements of the system’s reliability and integrity. In order to improve the reliability and stability of the satellite navigation system, the positioning method by BDS and GPS navigation system is presented, the measurement model and the state model are described. Furthermore, the modified square-root Unscented Kalman Filter (SR-UKF) algorithm is employed in BDS and GPS conditions, and analysis of single system/multi-system positioning has been carried out, respectively. The experimental results are compared with the traditional estimation results, which show that the proposed method can perform highly-precise positioning. Especially when the number of satellites is not adequate enough, the proposed method combine BDS and GPS systems to achieve a higher positioning precision. View Full-Text
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Kong, J.; Mao, X.; Li, S. BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF Algorithm. Sensors 2016, 16, 635.
Kong J, Mao X, Li S. BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF Algorithm. Sensors. 2016; 16(5):635.Chicago/Turabian Style
Kong, JaeHyok; Mao, Xuchu; Li, Shaoyuan. 2016. "BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF Algorithm." Sensors 16, no. 5: 635.
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