人工神经网络在航迹关联中的应用研究
Application of Artificial Neural Network in Track Correlation
-
摘要: 在分布式多传感器系统中的多节点情况下,航迹关联问题可以转化为多维分配问题。而多维分配问题是典型的组合优化问题,很难找到问题的最优解,而且其计算量随着问题规模的增加易出现指数爆炸现象。该文提出了一种三维神经网络模型,用以解决三节点情况下航迹关联的三维分配问题,并进行了实验仿真。仿真结果表明,三维人工神经劂络模型能够有效地求解此三维分配问题,并且具有较高的航迹关联正确率。另外三维神经网络模型同样可以推广到多维,用以解决航迹关联的多维分配问题。Abstract: 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.
-
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. -
计量
- 文章访问数: 2487
- HTML全文浏览量: 142
- PDF下载量: 763
- 被引次数: 0
下载:
