• DocumentCode
    103989
  • Title

    Impact Point Prediction for Thrusting Projectiles in the Presence of Wind

  • Author

    Ting Yuan ; Bar-Shalom, Y. ; Willett, P. ; Hardiman, David

  • Author_Institution
    Univ. of Connecticut, Storrs, CT, USA
  • Volume
    50
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan-14
  • Firstpage
    102
  • Lastpage
    119
  • Abstract
    Wind can and often does significantly affect impact-point prediction (IPP) performance for thrusting/ballistic endoatmospheric projectiles. Wind exacerbates the estimation ambiguity between drag and thrust in the dynamic model and induces additional uncertainty in the IPP procedure. A tracker accounting for the wind effect is presented and simulation study shows that it can be fully compensated if the wind information is available. An N-point adaptive initialization based on a goodness-of-fit test and a statistical significance test is introduced. Based on the multiple interacting multiple model (MIMM) approach developed recently, the IPP performance is investigated with respect to the total observation time and the sensor accuracy in various wind scenarios. In each Monte Carlo (MC) run of the simulation study, under the same sensor accuracy and the same observation time, the same set of random numbers has been used (but different in different MC runs) for the same caliber projectile in various wind scenarios to examine how much the wind affects the IPP performance with/without the exact knowledge of the wind information. The final conclusion is that with the wind effect accounted for, the IPP performance in the presence of wind is practically the same as in its absence.
  • Keywords
    Monte Carlo methods; impact (mechanical); projectiles; statistical testing; IPP procedure; MIMM approach; Monte Carlo run; N-point adaptive initialization; ballistic endoatmospheric projectiles; goodness-of-fit test; impact-point prediction performance; multiple interacting multiple model approach; statistical significance test; thrusting projectiles; tracker accounting; wind information; Monte Carlo methods; Projectiles; Trajectory; Wind forecasting;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2013.120366
  • Filename
    6809903