Welcome to Journal of Beijing Institute of Technology
DOU Li hua, YANG Guo sheng, CHEN Jie, HOU Chao zhen. Synergy Decision for Radar and IRST Data Fusion[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2002, 11(3): 229-233.
Citation: DOU Li hua, YANG Guo sheng, CHEN Jie, HOU Chao zhen. Synergy Decision for Radar and IRST Data Fusion[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2002, 11(3): 229-233.

Synergy Decision for Radar and IRST Data Fusion

  • A new synergy decision method for radar and infrared search and track (IRST) data fusion is proposed, to solve such problems as how to decrease opportunities for radar suffering from being locked on by adverse electronic support measures (ESM), how to retrieve range information of the target during radar off, and how to detect the maneuver of the target. Firstly, polynomials used to predict target motion states are constructed. Secondly, a set of discriminants for detecting target maneuver are established by comparing the predicted values with the observations from IRST. Thirdly, a set of decisions are presented. Lastly, simulation is performed on the given scenario to test the validity of the method.
  • loading

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return
    Baidu
    map