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Fusion Filtering Method Guided by Measurement Information in Integrated Navigation System |
WANG Lina1,2,HUANG Bin3,GAO Xiaoying2,KANG Guohua3,SUN Yongrong3 |
(1. Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering,Beihang University, Beijing 100191, China; 2. National Laboratory of Aerospace Intelligent Control Technology, Beijing Aerospace Automatic Control Institute, Beijing 100854, China;3. Navigation Research Center, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 2100161, China) |
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Abstract Abstract: Aimed at the different output rates of each sub-aided navigation system in the integrated navigation system, a fusion filtering method guided by measurement information was proposed using information quality and information equivalent to register all the currently available information. Based on the additional principle, system state estimation was updated depending on the state prediction and currently available measurements, which is theoretically optimal. The simulation results show that the proposed method can handle the unequal output rates of multiple measurements, and work well when any subsystem goes wrong at any time. Compared with the federated filtering method and concentrated filtering method, the proposed method has a better realtime performance.
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Received: 25 September 2014
Published: 25 September 2014
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