计算机应用 ›› 2005, Vol. 25 ›› Issue (08): 1815-1817.DOI: 10.3724/SP.J.1087.2005.01815

• 数据库与人工智能 • 上一篇    下一篇

多传感器数据融合并行处理技术

夏学知1,2,涂葵2,陈建勋1,3,张子鹤2   

  1. 1.哈尔滨工程大学计算机科学与技术学院; 2.武汉数字工程研究所; 3.武汉科技大学计算机科学与技术学院
  • 发布日期:2011-04-07 出版日期:2005-08-01
  • 基金资助:

    国防预研基金资助项目(41306050103)

Parallel processing techniques of multi-sensor data fusion

XIA Xue-zhi1,2,TU Kui2,CHENG Jian-xun1,3,ZHANG Zi-he2   

  1. 1.College of Computer Science and Technology,Harbin Engineering University,Harbin Heilongjiang 1500001,China; 2.Institute of Wuhan Digital Engineering,Wuhan Hubei 430074,China; 3.College of Computer Science and Technology,Wuhan University of Science and Technology, Wuhan Hubei 430081,China
  • Online:2011-04-07 Published:2005-08-01

摘要: 分析了多传感器数据融合算法,并根据算法特点设计了基于集群计算机的数据融合系统,给出了算法映射策略,实现了数据融合的实时大容量处理,最后给出了实验室测试结论。

关键词: 数据融合, 集群计算机, 划分

Abstract: Based on the analysis of the data fusion algorithms, a data fusion processing system based on the cluster was designed according to the algorithms feature and the mapping methods were given, which achieve real-time processing of large numbers of targets,and the conclusion of test in our laboratory was given.

Key words: data fusion, cluster system, partition

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