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
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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.
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