Advanced Search
Volume 22 Issue 5
Sep.  2000
Turn off MathJax
Article Contents
He You, Liu Dajin, Peng Yingning, Xiong Wei. DISTRIBUTED MULTISENSOR TRACK FUSION WITH FEEDBACK INFORMATION[J]. Journal of Electronics & Information Technology, 2000, 22(5): 705-714.
Citation: He You, Liu Dajin, Peng Yingning, Xiong Wei. DISTRIBUTED MULTISENSOR TRACK FUSION WITH FEEDBACK INFORMATION[J]. Journal of Electronics & Information Technology, 2000, 22(5): 705-714.

DISTRIBUTED MULTISENSOR TRACK FUSION WITH FEEDBACK INFORMATION

  • Received Date: 1999-02-26
  • Rev Recd Date: 1999-06-17
  • Publish Date: 2000-09-19
  • In order to improve the tracking performance of local sensors in distributed multisensor data fusion systems,this paper discusses the state estimation technique of multisensor tracking with feedback information.Based on the single sensor Kalman filtering equations and distributed estimation solutions with feedback information,this paper presents the track fusion equations with and without feedback information in multicoordinate systems,and proves that two kinds of track fusion solutions are optimal and equivalent in the form of the theorem.The simulation results show that the multisensor data fusion system can not only increase the global estimation accuracy of target but also greatly improve the tracking performance of local nodes by using the feedback information.With respect to multiradar integration tracking,it is suitable for using 2~4 local sensors in data fusion system.
  • loading
  • Llinas J,Waltz E.Multisensor Data Fusion.Norwood,Massachusetts:Artech House,1990,Chapter 6.[2]Hall D H.Mathematical Techniques in Multisensor Data fusion.Boston:Artch House,1992,251-290.[3]孙红岩,毛士艺,林品兴.多传感器数据分层融合的性质.电子学报,1996,24(6):55-61.[4]何友.多目标多传感器分布信息融合算法:[博士论文].清化大学,1996,11.[5]何友,彭应宁,陆大 ,高志永.多传感器数据融合中两种新的航迹相关算法.电子学报,1997,25(9):10-14.[6]何友,陆大 ,彭应宁,高志永.分布式多传感器数据融合中的双门限航迹相关算法.电子科学学刊,1997,19(6):721-728[7]何友,陆大 ,彭应宁.一种多目标多传感器航迹相关算法.清华大学学报,1997,37(9):108-113.[8]何友,陆大 ,彭应宁.多目标多传感器模糊双门限航迹相关算法.电子学报,1998,26(3):15-19.[9]Roecker J A,McGillem C D.Comparison of two sensor tracking methods based on state vector fusion and measurement fusion.IEEE Trans.on AES,1988,AES-24(4):447-449.[10]Karlson N A.Federated square root filter for decentralized parallel processes.IEEE Trans.on AES,1990,AES-26(3):517-525.[11]Lobbia R,Kent M.Data fusion of decentralized local tracker outputs.IEEE Trans.on AES,1994,AES-30(3):787-799.[12]Bar-Shalom Y.A Tutorial on multitarget-multisensor tracking and fusion.1997 IEEE National Radar Conference,Syracuse,N.Y.:1997,1-50.[13]Chang K C,Saha R K,Bar-shalom Y.On optimal track-to-track fusion.IEEE Trans.on AES,1997,AES-33(4):1271-1276.[14]何友,彭应宁,陆大 ,王国宏.基于模糊综合函数的航迹相关算法.电子科学学刊,1999,21(1):91-96.
  • 加载中

Catalog

    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 (2152) PDF downloads(446) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return