Infrared and Laser Engineering, Volume. 47, Issue 4, 404008(2018)

Research on cooperative location and tracking approach of infrared guided munition

Zang Luyao1、*, Lin Defu1, Yang Zhe2, and Wang Wugang3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • show less

    Aiming at the problem that infrared guided missile cannot measure guidance information such as the relative distance, line of sight(LOS) rate and target acceleration directly, the observability of a single missile was less, and the target location error was large, considering the measurement characteristics of infrared seeker, geometrical relationship among multiple missiles and the target was used to locate the target cooperatively. Multiple missiles cooperative tracking the target model was established. The distance between missiles and the target was estimated by calculating the relative motion between missiles, and it was used as pseudo quantity measurement. The new measurement equation was constructed combined with the angle measurement information of seeker. The relative distance and LOS rate was estimated by Kalman filtering algorithm. Aiming at the maneuvering target, an interactive multiple model filtering cooperative tracking method was studied. The maneuvering model of real target was estimated by weighted fusion of multiple target maneuvering models. Simulation results show that the proposed method can effectively improve the estimation accuracy of the stationary/maneuvering target.

    Tools

    Get Citation

    Copy Citation Text

    Zang Luyao, Lin Defu, Yang Zhe, Wang Wugang. Research on cooperative location and tracking approach of infrared guided munition[J]. Infrared and Laser Engineering, 2018, 47(4): 404008

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: 红外技术及应用

    Received: Nov. 5, 2017

    Accepted: Dec. 3, 2017

    Published Online: Sep. 19, 2018

    The Author Email: Luyao Zang (luyao_jizi@126.com)

    DOI:10.3788/irla201847.0404008

    Topics