Title :
Optimal information fusion kalman filtering for discrete-time systems with time-delay sensors
Author :
Yan, Jie ; Lu, Xiao ; Wang, Haixia ; Cao, Maoyong
Author_Institution :
Key Lab. for Robot & Intell. Technol. of Shandong Province, Shandong Univ. of Sci. & Technol., Qingdao
Abstract :
Based on re-organization of innovation and the scalar weighting optimal information fusion criterion in the minimum variance sense, the time-delay information fusion Kalman filter is presented for linear discrete-time systems of double models, each of which includes instantaneous and delayed sensors.
Keywords :
Kalman filters; delays; discrete time systems; linear systems; sensor fusion; linear discrete-time double model system; minimum variance sense; re-organization-of-innovation; scalar weighting optimal information fusion Kalman filtering; time-delay sensor; Delay estimation; Delay systems; Information filtering; Information filters; Kalman filters; Nonlinear filters; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Technological innovation; Discrete-time systems; Riccati equations; delayed sensors; innovation analysis; optimal information fusion;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593459
