A Polytopic Linear Differential Inclusion-Based Novel Fast Kalman Filter for Multi-Mode Satellite Navigation Systems-Reference-Cited by-同舟云学术

A Polytopic Linear Differential Inclusion-Based Novel Fast Kalman Filter for Multi-Mode Satellite Navigation Systems

Published:2021-10-30 Issue: Volume: Page:2599-2611
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Xu Yujiao,Wu Qiang,Xiong Yan,Zhu Xufeng,Wang Chao,Hu Xiaoqing

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-8155-7_218

Reference13 articles.

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2. Kang, W., Li, L., Xiao-jing, D., et al.: GPS positioning algorithm based on UKF. J. Astronaut. 32(4), 795–801 (2011)

3. St-Pierre, M., Gingras, D.: Comparison between the unscented Kalman filter and the extended Kalman filter for the position estimation module of an integrated navigation information system. In: Intelligent Vehicles Symposium, 2004 IEEE. IEEE, pp. 831–835 (2004)

4. Yi, Y., Grejner-Brzezinska, D.A.: Tightly-coupled GPS/INS integration using unscented Kalman filter and particle filter. In: Proceedings of the 19th International Technical Meeting of the Satellite Division of The Institute of Navigation, pp. 2182–2191 (2001)

5. Yi, Y., Grejner-Brzezinska, D.A.: Performance comparison of the nonlinear Bayesian filters supporting GPS/INS integration. In: Proceedings of the 2006 National Technical Meeting of The Institute of Navigation, pp. 977–983 (2001)

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