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13 October 2008 Federated sigma point filter for multi-sensor attitude and rate estimation of spacecraft
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Abstract
High precision, fast computation speed, as well as a good capability of fault tolerant and reconstruction are required more and more for spacecraft attitude determination system. To realize the above requirement, an approach was presented to the synthesis of federated filters using sigma point technique. In this algorithm, the sigma point technique brought the algorithm a high precision, while the federated structure significantly enhanced the filters' capability of multi-rate information fusion, fault tolerance, and system modularity. Within consideration of computation consumption, a simple information-sharing formulation was derived to adapt to the special property of sigma point distribution, and a dynamical information sharing strategy for multi-rate fusion was developed. A numerical simulation example was employed to give the algorithm a test, where the simulated system contained a suit of gyroscopes; a three-axis magnetometer and a sun sensor each had a different sampling time. Simulation results demonstrated the efficiency of the federated sigma point filtering algorithm. It proved a better precision and a faster convergence speed than its traditional counterpart federated EFK, and had the capability of system reconfiguration for fault tolerant.
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Chunshi Fan, Ziyang Meng, Gaofei Zhang, and Zheng You "Federated sigma point filter for multi-sensor attitude and rate estimation of spacecraft", Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 712929 (13 October 2008); https://doi.org/10.1117/12.807457
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