• DocumentCode
    1803667
  • Title

    An advanced estimation design for high speed reentry targets

  • Author

    Chen, Yung-Yue ; Lin, Chun-Liang ; Huang, Chun-Wei ; Lin, Yu-Pin

  • Author_Institution
    Dept. of Electr. Eng., Nat. Yunlin Univ. of Sci. & Technol., Douliou, Taiwan
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    470
  • Lastpage
    475
  • Abstract
    Trajectory estimation design of tactical ballistic missiles (TBM) is an important issue to build up an anti-missile system and attracts a lot of attentions in it. Unfortunately, the relative trajectory estimation technologies are still secrets of "specific countries" and of course, cannot be easily obtained. Based on this reason, in this research, an advanced trajectory estimation design is investigated with combined the input estimation and extended Kalman filter. In this proposed method, estimation abilities extend from high speed reentry target\´s position and velocity to uncertain maneuverable accelerations and ballistic coefficient, i.e., more information of the targets can be offered by this method, besides, the acceptable trajectory estimation performance are shown from scenarios with different testing conditions.
  • Keywords
    Kalman filters; ballistics; design; estimation theory; missile control; position control; advanced estimation design; advanced trajectory estimation design; ballistic coefficient; extended Kalman filter; high speed reentry target; relative trajectory estimation technologies; tactical ballistic missiles; trajectory estimation design; uncertain maneuverable accelerations; Estimation; Kalman filters; Radar tracking; Target tracking; Trajectory; Zirconium; Ballistic Missile; Extended Kalman Filter; Input Estimation; Trajectory Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2011 8th Asian
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-61284-487-9
  • Electronic_ISBN
    978-89-956056-4-6
  • Type

    conf

  • Filename
    5899117