【作者】 林长川； 林海； 李丽娜； 邵哲平； 东昉；

【Author】 Lin Changchuan~(1,3) Lin Hai~2 Le lina~3 Shao Zheping~3 Dong Fang~1 (1 Navigation Institute, Dalian Maritime University, Dalian, 116026, China; 2 Physics Department, Xiamen University, Xiamen, 361005, China; 3 Navigation Institute, Jimei University, Xiamen, 361021, China)

【机构】 大连海事大学航海学院； 集美大学航海学院； 厦门大学物理系；

【摘要】 本文在简要介绍新兴AIS(自动识别系统)系统后,着重研究利用AIS和雷达目标的距离、方位、航速和航向等多种信息,采用多因素模糊综合方法对目标进行关联评判。采用统计加权法对关联后的目标进行合并。计算机仿真结果显示出本算法的正确性与有效性。同时,探讨了关联门限取值问题,并对关联概率与关联门限关系进行仿真,提出关联门限的合适取值约为0.7-0.8的建议。更多还原

【Abstract】 After the AIS(Automatic Identification System) was briefly described,a research was emphasized on an association judgment for the targets of the AIS with radar by adopting multi-factor fuzzy integration decision-making,utilizing the information of the distance,beating,velocity and course.The mergence of the tracks was conducted with weighed-statistics method.The results of the simulation of the computer showed that the fusion methods are corrective and effective.Simultaneity,the choice of the association threshold was discussed,and the relation of the association probability with the threshold was imitated,it was proposed that the appropriate chosen value of the threshold is about 0.7-0.8.更多还原