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Open AccessArticle

BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF Algorithm

School of Electronic Information and Electric Engineering, Shanghai JiaoTong University, 800 Dongchuan Street, Minhang District, Shanghai 200240, China
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Academic Editor: Vittorio M. N. Passaro
Sensors 2016, 16(5), 635; https://doi.org/10.3390/s16050635
Received: 2 March 2016 / Revised: 15 April 2016 / Accepted: 26 April 2016 / Published: 3 May 2016
(This article belongs to the Section Physical Sensors)
The 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
Keywords: Global Navigation Satellite System (GNSS); positioning algorithm; modified square-root Unscented Kalman filter (modified SR-UKF); BeiDou navigation System (BDS) Global Navigation Satellite System (GNSS); positioning algorithm; modified square-root Unscented Kalman filter (modified SR-UKF); BeiDou navigation System (BDS)
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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.

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