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Proceedings Paper

Study on UKF based federal integrated navigation for high dynamic aviation
Author(s): Gang Zhao; Wei Shao; Kai Chen; Jie Yan
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Paper Abstract

High dynamic aircraft is a very attractive new generation vehicles, in which provides near space aviation with large flight envelope both speed and altitude, for example the hypersonic vehicles. The complex flight environments for high dynamic vehicles require high accuracy and stability navigation scheme. Since the conventional Strapdown Inertial Navigation System (SINS) and Global Position System (GPS) federal integrated scheme based on EKF (Extended Kalman Filter) is invalidation in GPS single blackout situation because of high speed flight, a new high precision and stability integrated navigation approach is presented in this paper, in which the SINS, GPS and Celestial Navigation System (CNS) is combined as a federal information fusion configuration based on nonlinear Unscented Kalman Filter (UKF) algorithm. Firstly, the new integrated system state error is modeled. According to this error model, the SINS system is used as the navigation solution mathematic platform. The SINS combine with GPS constitute one error estimation filter subsystem based on UKF to obtain local optimal estimation, and the SINS combine with CNS constitute another error estimation subsystem. A non-reset federated configuration filter based on partial information is proposed to fuse two local optimal estimations to get global optimal error estimation, and the global optimal estimation is used to correct the SINS navigation solution. The χ 2 fault detection method is used to detect the subsystem fault, and the fault subsystem is isolation through fault interval to protect system away from the divergence. The integrated system takes advantages of SINS, GPS and CNS to an immense improvement for high accuracy and reliably high dynamic navigation application. Simulation result shows that federated fusion of using GPS and CNS to revise SINS solution is reasonable and availably with good estimation performance, which are satisfied with the demands of high dynamic flight navigation. The UKF is superior than EKF based integrated scheme, in which has smaller estimation error and quickly convergence rate.

Paper Details

Date Published: 15 August 2011
PDF: 9 pages
Proc. SPIE 8196, International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, 81960V (15 August 2011); doi: 10.1117/12.900174
Show Author Affiliations
Gang Zhao, Northwestern Polytechnical Univ. (China)
Wei Shao, Northwestern Polytechnical Univ. (China)
Kai Chen, Northwestern Polytechnical Univ. (China)
Jie Yan, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 8196:
International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications
John C. Zarnecki; Carl A. Nardell; Rong Shu; Jianfeng Yang; Yunhua Zhang, Editor(s)

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