摘要
为了解决多传感器多机动目标的航迹关联问题,提出了基于模糊平均综合相似度的多传感器多目标航迹关联算法。该算法首先应用模糊理论建立了多传感器航迹关联问题的数学模型,提出用航迹间的整体平均距离进行粗关联,确定可能关联航迹,排除不关联航迹;然后利用模糊理论计算出可能关联航迹之间的模糊综合相似度,基于到当前时刻的全部模糊综合相似度,得出可能关联航迹的整体模糊平均综合相似度,建立模糊平均相似度关联矩阵;最后采用最大平均综合相似度和阈值判别原则,确定关联航迹。仿真结果表明,在目标密集、航迹交叉等情况下,该算法性能良好,关联正确率明显优于传统方法。
To solve the data association problem in multi- sensor network system with multi- target,an algorithm on data association based on mean fuzzy synthetical resemble degree is proposed. Firstly, the math model on data association in multi-sensor network system is built,the whole mean distance is used to crude data association in order to find possible associated flight path and remove impossi- ble associated flight path. Secondly, the fuzzy synthetical resemble degree of possible associated flight path is computed by fuzzy theory,and the whole mean resemble degree based on all resemble degree currently. In addition,the association matrix on fuzzy mean resemble degree is built. Finally ,the asso- ciated flight path is confirmed by maximum mean resemble degree and relative judge rule. The simulation result shows the algorithm processes perfect performance and higher associated precision,especially under the environment of dense targets and cross flight paths.
出处
《电讯技术》
北大核心
2009年第8期9-12,共4页
Telecommunication Engineering
基金
国家自然科学基金资助项目(60773209)
关键词
目标跟踪
多传感器网络
航迹关联
模糊理论
平均相似度
target tracking
multi - sensor network
data association
fuzzy theory
mean resemble degree
