• 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