Abstract
The problem of navigation for the distributed satellites system using relative range measurements is investigated. Firstly, observability for every participating satellites is analyzed based on the nonlinear Keplerian model containing J2 perturbation and the nonlinear measurements. It is proven that the minimum number of tracking satellites to assure the observability of the distributed satellites system is three. Additionally, the analysis shows that the J2 perturbation and the nonlinearity make little contribution to improve the observability for the navigation. Then, a quasi-consistent extended Kalman filter based navigation algorithm is proposed, which is quasi-consistent and can provide an online evaluation of the navigation precision. The simulation illustrates the feasibility and effectiveness of the proposed navigation algorithm for the distributed satellites system.
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This research was supported by the National Basic Research Program of China under Grant No. 2014CB845303 and the National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences.
This paper was recommended for publication by Editor HUANG Jie.
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Su, Q., Huang, Y. Observability Analysis and Navigation Algorithm for Distributed Satellites System Using Relative Range Measurements. J Syst Sci Complex 31, 1206–1226 (2018). https://doi.org/10.1007/s11424-018-6096-1
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DOI: https://doi.org/10.1007/s11424-018-6096-1