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Volume 27 Issue 2
Feb.  2005
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Tian Bao-guo, He You, Yang Ri-jie. Application of Artificial Neural Network in Track Correlation[J]. Journal of Electronics & Information Technology, 2005, 27(2): 310-313.
Citation: Tian Bao-guo, He You, Yang Ri-jie. Application of Artificial Neural Network in Track Correlation[J]. Journal of Electronics & Information Technology, 2005, 27(2): 310-313.

Application of Artificial Neural Network in Track Correlation

  • Received Date: 2003-09-15
  • Rev Recd Date: 2004-02-09
  • Publish Date: 2005-02-19
  • In a distributed multisensor system, the problem of track correlation can be transformed into the problem of multi-dimension assignment. The problem of multi-dimension assignment is a typical combined optimization problem, it is very hard to find its optimum solution and its computing burden increases heavily with the increase of dimensions and the number of targets. So a new model of three-dimension neural network is proposed in this paper to deal with the problem of three-dimension assignment. The experimental results illustrate that this model can effectively solve the problem of track correlation and have higher correct association percent. And the model of three-dimension neural network proposed in this paper can be generalized to multi-dimension model to solve the problem of multi-dimension assignment.
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  • Ditzler W R. A demonstration of multisensor tracking[R]. In Proceedings of the 1987 Tri-Service Data Fusion Symposium,June 1987:303 - 311.[2]Bar-Shalom Y, Fortmann T E. Tracking and Data Association[M],New York: Academic Press, 1988.[3]Kosoka M. A track correlation algorithm for multisensor intergration[R]. Proceeding of the IEEE/AIAA 5th Digital Avionics System Conf., 1983, 10.3:1 - 8.[4]Chang C B, Youens L C. Measurement correlation for multiple sensor tracking in a dense target environment[J]. IEEE Trans. on AC, 1 982,27(6):1250-1252.[5]何友,谭庆海,蒋蓉蓉.多传感器综合系统中的航迹相关算法[J].火力与指挥控制,1989,14(1):1-12.[6]Kenefic R J. Local and remote track file registration using minimum description length[J]. IEEE Trans. on AES; 1993, 29(3):651 - 655.[7]何友,彭应宁,陆大绘.多传感器数据融合模型评述[J].清华大学学学报,1996,36(9):14-20.[8]何友,陆大绘彭应宁,高志永.多传感器数据融合中两种航迹相关算法[J].电子学报,1997,25(9):10-14.[9]何友,王国宏,陆大绘,彭应宁.多传感器信息融合及应用[M].北京:电子工业出版社,2000:135-136.[10]Pattipati K R, et al.. A new relaxation algorithm and passive sensor data association problem[J]. IEEE Trans. on AC, 1992,37(2): 198 - 213.[11]Deb S, et al.. An S-dimensional assignment algorithm for track initiation[R]. Proc. of the IEEE Int. Conf. Systems Engineering, Kobe, Japan, Sept. 1992:527 - 530.
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