Self-tuning measurement fusion Kalman filter

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

Volumn 1, Issue , 2006, Pages 1571-1575

  Hao, Gang ^a   Deng, Zili ^a  

^a HEILONGJIANG UNIVERSITY   (China)

Author keywords

Asymptotic global optimality; Identification; Multisensor information fusion; Noise variance estimation; Self tuning Kalman filter; Weighted measurement fusion

Indexed keywords

ASYMPTOTIC GLOBAL OPTIMALITY; MULTISENSOR INFORMATION FUSION; NOISE VARIANCE ESTIMATION; SELF-TUNING KALMAN FILTER; WEIGHTED MEASUREMENT FUSION;

ASYMPTOTIC ANALYSIS; GLOBAL OPTIMIZATION; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; SENSOR DATA FUSION;

KALMAN FILTERS;

EID: 34047234464     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2006.1712615     Document Type: Conference Paper

References (7)

1. Chinese source
2. Chinese source
3. T. Kailath, A.H. Sayed, B. Hassibi, Linear Estimation. Upper Saddle River, New Jersey: Prentice - Hall, 2000.
4. Chinese source
5. Chinese source
6. S.L. Sun and Z.L. Deng, "Multi-sensor optimal information fusion Kalman filter," Automatica, vol. 40, no. 6, pp. 1017-1023, 2004.
7. Z.L. Deng, Y. Gao, L. Mao, "New approach to information fusion steady-state Kalman filtering," Automatica, vol. 41, no. 10, pp. 1695-1707, 2005.