Volume 42 Issue 5
Feb.  2014
Turn off MathJax
Article Contents

Zhang Feng, Tian Kangsheng. Fusion tracking algorithm of boost-phase ballistic missile using Bayes[J]. Infrared and Laser Engineering, 2013, 42(5): 1372-1381.
Citation: Zhang Feng, Tian Kangsheng. Fusion tracking algorithm of boost-phase ballistic missile using Bayes[J]. Infrared and Laser Engineering, 2013, 42(5): 1372-1381.

Fusion tracking algorithm of boost-phase ballistic missile using Bayes

  • Received Date: 2012-09-10
  • Rev Recd Date: 2012-10-23
  • Publish Date: 2013-05-25
  • The demand of tracking accuracy is very high in the boost-phase ballistic missile interception, how to fuse the data of many kinds of boost-phase detection equipments to get more precise data has become an urgent problem. To solve this problem, a new fusion tracking algorithm based on missile early warning satellites and radar was studied, a fusion tracking algorithm of boost-phase based on Bayes theory was proposed. The detection model and tracing model of missile early warning satellite and radar for boost-phase were established, the accuracy of this fusion algorithm was improved by the help of POFACETS' RCS simulation of one type of ballistic missile. Simulation results show that the result is more accurate than by using arithmetic mean on the limited sensors, this algorithm has high reliability.
  • [1] Fan Jinxiang. Status quo and trend of infrared system and technologies for America's ballistic missile defense system[J]. Infrared and Laser Engineering, 2006, 35(5): 537-540.(in Chinese)
    [2]
    [3] Zhu Weigang, Hou Guojiang, Fei Shibing. Application of space-based lasers constellations for ballistic defense[J]. Infrared and Laser Engineering, 2004, 32(2): 558-563 (in Chinese)
    [4]
    [5] Ji T C, Kirnbarajan T, Yeddmlapudi M, et a1. Trajectory and launch point estimation for ballistic missiles from boost phase LOS measurements[C]//Proceedings of 1999 IEEE Aerospace Conference, 1999, 4: 425-442.
    [6]
    [7]
    [8] Zhang Lewei, Chen Guiming, Xue Donglin. Summary of missile early warning satellite[J]. Tactical Missile Technology July, 2011(4): 117-121.
    [9]
    [10] Li Dun, Zhou Yiyu, Lv Tongguang, et al. Tactical parameter estimation of ballistic missile launch with space early warning system[J]. Journal of Astronautics, 2001, 22(6): 85-90. (in Chinese)
    [11]
    [12] Zhang Tao, An Wei, Zhou Yiyu, et al. The trajectory tracking method in boost phase using thrust acceleration profile[J]. Journal of Astronautics, 2006, 27(5): 386-389. (in Chinese)
    [13] An Wei, Zhang Tao, Zhou Yiyu. The track capture of ballistic missile from satellite observations[J]. Journal of Electronics Information Technology, 2007, 29(11): 2677-2678. (in Chinese)
    [14]
    [15] Chen Ying, Cheng Zhen, Wen Shuliang. Study on method for simultaneously tracking and classifying ballistic missile in boost and post-boost phase[J]. Signal Processing, 2011, 27(5): 750-754. (in Chinese)
    [16]
    [17]
    [18] Yu Jianguo, Liu Mei, Wu Yunli, et al. Ballistic missile tracking based on asymmetric interacting multiple model[J]. Systems Engineering and Electronics, 2010, 32(12): 2571-2575. (in Chinese)
    [19] William J F. Interacting multiple model filter for tactical ballistic missile tracking[J]. IEEE Trans on Aerospace and Electronic Systems, 2008, 44(2): 418-426.
    [20]
    [21] Benavoli A, Chisci L, Farina A. Tracking of a ballistic missile with a-prior information[J]. IEEE Trans On Aerospace and Electronic Systems, 2007, 43(3): 1000-1016.
    [22]
    [23] Garrido E. Graphical user interface for a physical optics radar cross section prediction code[D]. Monterey, California: Naval Postgraduate School, 2000.
    [24]
    [25] Ye Qing, Sun Xiaoquan, Shao Li. Analysis of optimum detective wavebands for infrared early-warning satellite[J]. Infrared and Laser Engineering, 2010, 39(3): 390-393.(in Chinese)
    [26]
    [27] Filippo Neri. Introduction to Electronic Defense Systems[M]. Norwood, Massachusetts: Artech House, 2001.
    [28]
    [29]
    [30] He You, Xiu Jianjuan, Zhang Jinwei. Radar Data Process and Application[M]. Beijing: Publishing Company of Electron Industry, 2005. (in Chinese)
    [31] Hail D L. Mathematical Techniques in Multisensor Data Fusion[M]. London: Artech House Boston, 1992.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(292) PDF downloads(150) Cited by()

Related
Proportional views

Fusion tracking algorithm of boost-phase ballistic missile using Bayes

  • 1. 23th Branch,Department of Graduate Management,AFRA,Wuhan 430019,China;
  • 2. Department of Four,AFRA,Wuhan 430019,China

Abstract: The demand of tracking accuracy is very high in the boost-phase ballistic missile interception, how to fuse the data of many kinds of boost-phase detection equipments to get more precise data has become an urgent problem. To solve this problem, a new fusion tracking algorithm based on missile early warning satellites and radar was studied, a fusion tracking algorithm of boost-phase based on Bayes theory was proposed. The detection model and tracing model of missile early warning satellite and radar for boost-phase were established, the accuracy of this fusion algorithm was improved by the help of POFACETS' RCS simulation of one type of ballistic missile. Simulation results show that the result is more accurate than by using arithmetic mean on the limited sensors, this algorithm has high reliability.

Reference (31)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return