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数据库技术在多传感器信息融合系统中的应用综述 被引量:7

A Survey of Database Application in Multisensor Data Fusion
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摘要 数据库技术在多传感器信息融合系统中占有非常重要的地位.论文以数据库对融合算法的支持为目标,以数据库模型和数据融合数据库的全面设计为基础,在全面考虑面向特征的数据表征形式和组织结构的基础上,详细讨论了多传感器信息融合系统中数据库设计的基本理论,讨论了融合算法对数据库的需求和数据库设计,设计了辐射源识别的知识数据库. Database plays an important role in multisensor data fusion system. In this paper, the basic theory of database in multisensor data fusion system is discussed which aims at the full scale database design and takes the support for data fusion algorithm as base. Firstly, some database system modes are analyzed in order to provide laws for system design. Secondly, the requirements of database to perform data fusion are presented, and the data formats used in data fusion are concluded and summarized so as to get its character. Thirdly, the design coures are introduced which included the general frame, the organized structure, the data structure and the realization flow chart, some design suggestions is presented for system improvement. Finally, database of emitter recognition is designed.
出处 《海军航空工程学院学报》 2007年第4期401-406,416,共7页 Journal of Naval Aeronautical and Astronautical University
基金 国家自然科学基金资助项目(60172033) 全国优秀博士论文作者专项基金(200036、200237) 高校骨干教师基金资助项目(3240)
关键词 数据库 多传感器 信息融合 database multisensor data fusion
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  • 1何友,唐劲松,王国宏.多雷达跟踪系统中航迹质量管理的优化[J].现代雷达,1995,17(1):14-19. 被引量:9
  • 2杨静宇 邬永革.战场数据融合技术[M].北京:兵器工业出版社,1994.1-11.
  • 3董志荣.舰艇指控系统的理论基础[M].北京:国防工业出版社,1995..
  • 4杨祥金 蔡庆生.人工智能[M].重庆:科学技术文献出版社,1988..
  • 5李子木 莫倩 等.数据仓库技术的研究现状[J].计算机科学,1998,(25).
  • 6[1]Edward Waltz. Multisensor Data Fusion[M].London:Artech House,1990.
  • 7[2]李洪兴.信息融合技术[M].北京:国防工业出版社,1996.
  • 8[17]Mercer R E, Barron J L, Bruen A.A, Cheng D. Fuzzy points: algebra and application[J]. Pattern Recognition,2002(35): 1153-1166
  • 9[18]Boyen X. Automatic induction fo fuzzy decision trees and its application to power system[J]. Fuzzy Sets and Systems,1999,102(1): 3-19
  • 10[19]Mercy Shalinie S. Neuro-fuzzy pattern classification model with rule extraction based on supervised learning[A]. Proceedings of the 9th International Conference on neural Information Processing, 2002:1862-1866

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