期刊文献+

多传感器信息融合系统改进型BA模型 被引量:1

The Improved BA Model of Multi-sensor Information Fusion System
下载PDF
导出
摘要 随着网络中心战和网络动力学的发展,多传感器信息融合系统的网络动力学特征研究将成为热门课题。本文从网络动力学角度,研究信息融合系统的两个问题。一是研究信息融合系统的无尺度网络特征,首次使用无尺度网络模型作为信息融合系统的构造形式。二是结合信息融合系统的特殊要求对BA模型做了相应的改进,给出一种信息融合系统改进型BA网络模型。该改进型BA模型更符合信息融合的网络动力学特征,其平均距离比BA模型改善10%。 With the development of network centric warfare and network dynamics, the dynamic characteristics of multi-sensor information fusion system will become a hot research topic. From the viewpoint of the network dynamic, two aspects are discussed in this paper. Firstly, it is about the features of scale-free in information fusion system. Scale-free network model is used as a form of the structure of information fusion systems for the first time. Secondly, according to the special requirements of information fusion system, the corresponding improvements are made based on the BA model. An advocated model is given to be the improved BA model of multi-sensor information fusion system. The average length is deceased by 10% in the improved model. The improved BA model is more suitable considering the dynamic characteristics of multisensor information fusion system.
出处 《航天控制》 CSCD 北大核心 2008年第1期51-55,96,共6页 Aerospace Control
基金 国家自然基金项目(60572038) 控制与信息技术国家重点实验室项目资助
关键词 网络中心战 网络动力学 无尺度网络 信息融合 Network centric warfare Network dynamics Scale-free network Information fusion
  • 相关文献

参考文献7

  • 1Alberts J. David,Garstka J. John,Stein P. Frederick. Network Centric Warfare: Developing and Leveraging Information Superiority, 2nd Edition (Revised) [ J ]. CCRP Publication Series. 2001.
  • 2Albert R. , Barabasi A. L. Statistical Mechanics of Complex Networks. Review of Modern Physics[ J ]. 2002,74 (1): 48-97.
  • 3Hari P. T, Usha N. R. , Soundar K. Survivability of Multiagent- based Supply Networks: A Topological Perspective. IEEE Computer Society[ J]. 2004 : 24-31.
  • 4Albert R. , H. Jeong and A.L. Barabasi. Attach and Error Tolerance in Complex Networks [ J]. Nature. 2000, 406: 387 - 482.
  • 5P. Holme, B. J. Kim, C. N. Yoon, S. K. Han. Attack Vulnerability of Complex Networks [ J]. Phys. Rev. E, 2002,65 (066109).
  • 6Barabasi A. L. , Albert R. Emergence of Scaling in Random Networks[J]. Sciences 1999, 286:509 -512.
  • 7Watts D, Strogatz S. Collective Dynamics of Small World Networks[J]. Nature, 1998, 393:440 -442.

同被引文献6

引证文献1

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部