Advanced Search
Volume 32 Issue 4
Dec.  2010
Turn off MathJax
Article Contents
Xiong Wei, Zhang Jing-wei, He You. Track Correlation Algorithm Based on Multi-dimension Assignment and Gray Theory[J]. Journal of Electronics & Information Technology, 2010, 32(4): 898-901. doi: 10.3724/SP.J.1146.2009.00394
Citation: Xiong Wei, Zhang Jing-wei, He You. Track Correlation Algorithm Based on Multi-dimension Assignment and Gray Theory[J]. Journal of Electronics & Information Technology, 2010, 32(4): 898-901. doi: 10.3724/SP.J.1146.2009.00394

Track Correlation Algorithm Based on Multi-dimension Assignment and Gray Theory

doi: 10.3724/SP.J.1146.2009.00394
  • Received Date: 2009-03-23
  • Rev Recd Date: 2009-12-30
  • Publish Date: 2010-04-19
  • To resolve the problem of track correlation in distributed multi-sensor system, a track correlation algorithm based on multi-dimension assignment and gray theory is presented in this paper. Firstly, gray theory is applied to acquire a global statistical vector in the distributed multi-sensor system. Then, a multi-dimension gray similar degree matrix is build according to the global statistical vector. Based on this matrix, the track correlation results can be got by a multi-dimension assignment method. At last, the algorithm is compared with gray track correlation algorithm. The simulation results show that the performance of the algorithm here is much better than that of the gray track correlation algorithm in dense multi-target environments, more cross, split and maneuvering track situations. In this situations, its correct correlation rate is improved about 8.8 percent over that of the gray track correlation algorithm.
  • loading
  • Martin E L, David L H, and James L. Handbook ofMultisensor Data Fusion: Theory and Practice (2 Ed.). CRCPress, 2008: 7-8.[2]何友, 王国宏等. 多传感器信息融合及应用(第2版). 北京: 电子工业出版社, 2007: 38-42.[3]Kaplan L M, Blair W D, and Bar-Shalom Y. Simulationsstudies of multisensor track association and fusion methods.Aerospace Conference IEEE, Big Sky, MT, 2006: 1-16.[4]Singer R A and Kanyuck A T. Computer control ofmultiple site track data[J].Automation.1971, 7(3):455-463[5]Ditzler W R. A demonstration of multisensor tracking.Proceedings of the 1987 Tri-Service Data Fusion Symposium,JHU/APL, Laurel, Md., June 1987: 303-311.[6]Gul E. On the track similarity test in track splittingalgorithm[J].IEEE Transactions on Aerospace and ElectronicSystem.1994, 30(2):604-606[7]李晓峰, 王强. 改进的最近邻航迹相关算法研究. 电子科技,2008, 21(7): 44-47.[8]何友, 田宝国. 基于神经网络的广义经典分配航迹关联算法.航空学报, 2004, 25(3): 300-303.[9]黄晓冬, 何友, 赵峰. 几种典型情况下的航迹关联研究. 系统仿真学报, 2005, 17(9): 2085-2088.[10]张丙军, 何红, 张冲, 张永明. 分布式多传感器多目标航迹关联处理算法研究. 兵工自动化, 2008, 27(12): 24-26.[11]Kenefic R J. Local and remote track file registration usingminimum description length[J].IEEE Transactions onAerospace and Electronic System.1993, 29(3):651-655[12]Guan Xina, He You, and Yi Xiao. Gray track-to-trackcorrelation algorithm for distributed multitarget trackingsystem[J].Signal Processing.2006, 86(11):3448-3455
  • 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 (3786) PDF downloads(926) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return