Performance enhancement for ultra-tight GPS/INS integration using a fuzzy adaptive strong tracking unscented Kalman filter

Author:

Jwo Dah-Jing,Yang Chi-Fan,Chuang Chih-Hsun,Lee Ting-Yu

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Control and Systems Engineering

Reference33 articles.

1. Farrell, J.A., Barth, M.: The Global Positioning System & Inertial Navigation. McGraw-Hill, New York (1999)

2. Brown, R., Hwang, P.: Introduction to Random Signals and Applied Kalman Filtering. Wiley, New York (1997)

3. Babu, R., Wang, J.: Ultra-tight GPS/INS/PL integration: a system concept and performance analysis. GPS Solut. 13(1), 75–82 (2009)

4. Yuan, G., Zhang, T.: Unscented Kalman filtering for ultra-tightly coupled GPS/INS integration. In: Proceedings of the 2009 IEEE International Conference on Mechatronics and Automation, Changchun, China, pp. 4556–4560 (2009)

5. Gelb, A.: Applied Optimal Estimation. MIT Press, Cambridge (1974)

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