灰色关联分析在多传感器目标跟踪中的应用

The Application of Gray Association Analysis in Muti-sensor Target Tracking

采用综合改进了的广义灰色关联度;通过聚类思想从原始序列挑选各时刻测值重组形成参考时间序列,有效避免了野值对参考时间序列的干扰;通过关联序分析,阈值比较,对原始时间序列进一步修改,提高融合精度。实例证明该方法可以进一步提高目标跟踪的精确性和可靠性。

This paper introduces an synthetically improved generalized gray association degree. It uses the cluster thought to choose measured values in every moment from primitive time array to establish reference time array , which effectively evades interference of wild values. It modifies primitive time array by the analysis of association array and the comparison with critical value to raise fusion precision. The example proves that this approach is effective in target tracking.