• DocumentCode
    1707858
  • Title

    Identification of state space model for radar servo system

  • Author

    Peng Cheng ; Wang Yong

  • Author_Institution
    Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2013
  • Firstpage
    2022
  • Lastpage
    2025
  • Abstract
    System identification for radar servo system is studied in this paper. Multisine input signal is designed to excite the system. Observer/Kalman filter identification algorithm is used to calculate the Markov parameters of the system. A state space equation is then realized from the estimated Markov parameters. The experiment results show that the identified model can fit the radar servo system accurately.
  • Keywords
    Kalman filters; Markov processes; radar signal processing; multisine input signal; observer/Kalman filter identification algorithm; radar servo system; state space model; system identification; Electronic mail; Kalman filters; Markov processes; Observers; Servomotors; Spaceborne radar; Balanced Realization; Observer/Kalman Filter Identification; Radar Servo System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6639760
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1707858