An orbit determination algorithm by means of the satellite-borne GPS data and Kalman filter |
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| Affiliation: | 1. Institute of Systems Science, Chinese Academy of Sciences, Beijing 100008, China;2. Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210008, China;1. Key Laboratory of Geomatics and Digital Technology of Shandong Province, Shandong University of Science and Technology, Qingdao 266590, China;2. Key Laboratory of Comprehensive and Highly Efficient Utilization of Salt Lake Resources, Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining 810008, China;3. Qinghai Provincial Key Laboratory of Geology and Environment of Salt Lakes, Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining 810008, China;4. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, 999077, Hong Kong, China;1. Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh;2. School of Computing, National University of Singapore (NUS), Singapore |
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| Abstract: | Using the Kalman filter algorithm, we have processed on-board GPS data of Shenzhou 4. The research focuses on three problems, namely, the selection criteria for the model error variance matrix of the Kalman filter, the effects of GPS signal interruption or runs of outliers on the recursive filtering, and the method to monitor the filter running status (normal or divergent). The aim is to evaluate the reliability of long-time stationary running of this algorithm used for on-board autonomous orbit determination |
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