DocumentCode :
3482401
Title :
Centralized H∞ Fusion Filter Design in Multi-Sensor Data Fusion System
Author :
Li, Qinghua ; Wang, Hongjun ; Li, Hua ; Liu, Xuezhen ; Lin, Fei
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan
fYear :
2008
fDate :
21-24 Sept. 2008
Firstpage :
603
Lastpage :
607
Abstract :
Some multi-sensor fusion systems are not asymptotic stable like target tracking system. When using classical H filtering theory to design the fusion filter for these systems, there are no feasible solutions to the problem. Applying Hinfin theory and LMI methods to design the H fusion filter for those kind of fusion systems, in which the process and measurement noise have unknown statistic characteristic but bounded power, a new approach is presented in this paper. Finally, an example is given to illustrate the effectiveness of our method.
Keywords :
Hinfin control; asymptotic stability; filtering theory; linear matrix inequalities; sensor fusion; LMI method; asymptotic stability; centralized Halpha fusion filter design; multisensor data fusion system; target tracking system; Design methodology; Filtering theory; Filters; Noise measurement; State estimation; Statistics; Stochastic processes; Stochastic systems; Symmetric matrices; Target tracking; H¿ filtering; LMI; multi-sensor data fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics, Automation and Mechatronics, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1675-2
Electronic_ISBN :
978-1-4244-1676-9
Type :
conf
DOI :
10.1109/RAMECH.2008.4681336
Filename :
4681336
Link To Document :
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