• DocumentCode
    2794863
  • Title

    The study on upper bound of measurement error with constraint of stochastic passage characteristics

  • Author

    Guoqing, Qi ; Li, Chen ; Xijing, Gao ; Andong, Sheng

  • Author_Institution
    Autom. Sch., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    1220
  • Lastpage
    1225
  • Abstract
    Due to the restrictions of technology and cost, the sensors with measurement precision as lower as possible are in good graces in actual engineering on the premise of guaranteed system performance. For a class of estimation problem that the target future position is a plane (or spatial) area (target area) in some electro-optical tracking systems, the admissible maximum measurement error variance is studied. Firstly, the consistency between the constraint indices of regional pole, prediction error variance and stochastic passage characteristics (opportunity awaiting index) of such kind tracking system is analyzed. Secondly, the multi indices are converted into a set of bi-linear matrix inequalities (BMIs). Then, the admissible maximum measurement error variance is given by iteratively solving linear matrix inequalities (LMIs) to approximate BMIs. Finally, the obtained results are demonstrated by a numerical example.
  • Keywords
    bilinear systems; linear matrix inequalities; optical tracking; pole assignment; stochastic systems; bilinear matrix inequalities; constraint index; electro-optical tracking system; measurement error; measurement precision; opportunity awaiting index; prediction error variance; regional pole; sensor; stochastic passage characteristics; Costs; Linear matrix inequalities; Measurement errors; Sensor phenomena and characterization; Sensor systems; Stochastic processes; Stochastic systems; System performance; Target tracking; Upper bound; Bi-linear Matrix Inequalities; Measurement Error; Opportunity Awaiting Estimation; Stochastic Passage Characteristics; Target Area;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192551
  • Filename
    5192551