Application of fuzzy federal Kalman filtering in the airport automatic docking guidance system

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2008, Pages 3576-3580

  Hu, Dandan ^a   Gao, Qingji ^a   Han, Guangdong ^b  

^a CIVIL AVIATION UNIVERSITY OF CHINA   (China)

^b NORTHEAST ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Docking guidance system; Federal Kalman filtering; FIS; Fusion

Indexed keywords

FUSION REACTIONS; FUZZY INFERENCE; REMOTE CONTROL;

AUTOMATIC DOCKING; DOCKING GUIDANCE SYSTEM; FEDERAL KALMAN FILTERING; FUZZY INFERENCE SYSTEMS; LOCAL FILTERING; STATE VECTOR;

KALMAN FILTERS;

EID: 52149118026     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2008.4593493     Document Type: Conference Paper

References (5)

1. Honeywell Airport Systems Gmbh, "Visual Docking Guidance System operators training guide", Germany Hamburg: Honeywell Airport Systems Gmbh, 2000.
2. M. Y. Fu, Z. H. Deng and J. W. Zhang, "The Theory of Kalman Filting and Its Application in Navigation System", Beijin: Science Press, 2003.
3. Y. He, "State Estimation for Multilevel Multisensor Data Fusion Systems", Acta Electronica Sinica, vol.27, no.8, pp.60-63,1999.
4. G. Cheng, W. D. Liu, S. J. Wei, et al, "Methods for Estimation and Prediction of Maneuverable Target Based on Kalman Filtering", Computer Simulation, vol.23, no.1, pp8-10, 2006.
5. Z. X. Ma, Z. Y. Liu, M. Chen. "Application of Adaptive Kalman Filtering Based on Fuzzy Logic to the Integrated GPS/INS Navigation", Information and Control, vol.35, no.4, pp457-461, 2006.