CORRELATION TECHNOLOGY

One Decision Fusion Algorithm for Aerial Target Based on Euclidean Distance

  • DU Taihang ,
  • WANG Xianqing ,
  • CHEN Guodong
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  • 1 School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China
    2 Antiaircraft Laboratory, Air Force Equipment Academy, Beijing 100085, China

Received date: 2011-03-19

  Online published: 2025-05-29

Abstract

To solve the problems of traditional d-s theory under battlefield condition, in view of the background characteristics and special requirement of information fusion in battlefield environment, a new fusion algorithm was proposed to meet the requirements of real-time as well as accuracy. That Algorithm is based on the thought of Euclidean distance between vectors. The numerical simulation results show that the algorithm is feasible.

Cite this article

DU Taihang , WANG Xianqing , CHEN Guodong . One Decision Fusion Algorithm for Aerial Target Based on Euclidean Distance[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2012 , 32(1) : 201 -204 . DOI: 10.15892/j.cnki.djzdxb.2012.01.013

References

[1]
Bogler PL Shafer-Dempster reasoning with applicationsto multisensor target identification systems[J]. IEEETram s Syst, Man, Cybern, SMC, 1987. 17 (6): 968- 977.
[2]
李向莉, 吕建平. DS证据理论在多传感器信息融合中的改进[J]. 现代电子技术, 2005, 28 16: 16- 18.
[3]
Shafer G A mathematical theory of evidence[M]. Princeton: Princeton University Press, 1976.
[4]
何友, 王国宏, 陆大金,等. 多传感器信息融合及应用[M].2版. 北京: 电子工业出版社, 2007.
[5]
孙即祥. 现代模式识别[M]. 长沙: 国防科技大学出版社, 2001.
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