Autonomous navigation for a group of satellites with star sensors and inter-satellite links |
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| Institution: | 1. Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, 200030, China;2. School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing, 100049, China;3. National Time Service Center, Chinese Academy of Sciences, Lintong, Shaanxi, 710600, China;4. School of Electronic Information, Huanggang Normal University, Huanggang, 438000, China;1. Departamento de Astronomía y Astrofísica, Universidad de Valencia, 46100 Burjassot, Valencia, Spain;2. Observatorio Astronómico, Universidad de Valencia, 46980 Paterna, Valencia, Spain;1. University of Chinese Academy of Sciences, Beijing 100049, China;2. Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China;1. Mechanical and Aerospace Engineering, Carleton University, Ottawa, Canada;2. Aerospace Engineering, Ryerson University, Toronto, Canada;3. Magellan Aerospace, Ottawa, Canada |
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| Abstract: | This paper studies the autonomous navigation method for a group of satellites based on relative position measurements, which can be obtained by using inter-satellite links for measuring relative range and navigation star sensors for measuring relative bearing. For the satellites that are far from each other, it may be difficult to obtain relative bearing measurement due to poor visibility. To address this difficulty, this paper proposes a novel scheme, where three satellites, whose relative ranges are rather small such that the relative bearings can be observed, are used as beacons for the navigation of the other satellites that are invisible. The feasibility of the proposed navigation scheme is analyzed by using the Cramer-Rao lower bound (CRLB), with the consideration of the availability of relative bearing measurements. In addition, the multiple model adaptive estimation (MMAE) algorithm is adopted to improve the convergence speed of the estimator in the presence of large initial errors. Simulation results illustrate the high performance of the proposed scheme. |
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