基于灰色关联分析的异类传感器航迹相关算法  

Heterogeneous sensors track correlation algorithm using gray correlative analysis

作　　者：黄友澎[1] 曹万华[1,2] 张志云[1] 张海波[1] 

机构地区：[1]武汉数字工程研究所数据融合中心,湖北武汉430074 [2]哈尔滨工程大学计算机科学与技术学院,黑龙江哈尔滨150001

出　　处：《华中科技大学学报（自然科学版）》2011年第10期83-86,共4页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国防预研项目

摘　　要：针对由雷达和红外传感器组成的异类传感器数据融合系统中的多目标航迹相关问题,提出了基于灰色关联分析的异类传感器航迹相关算法.该算法将目标航迹看成是方位信息的时间序列,所有目标航迹构成方位时间序列集合,利用B型关联度对该集合元素进行灰色关联分析,形成航迹灰色关联度矩阵,采用最低关联度门限与全局最优的策略确定航迹关联对,实现异类传感器纯方位航迹相关判定.仿真试验结果表明:该方法能解决由雷达和红外传感器组成的异类传感器航迹相关.On the basis of the grey correlation analysis,a heterogeneous sensors track correlation algorithm was proposed,which took the target track in the heterogeneous sensor data fusion system as the time series of the target bearing information.The bearing time series set was composed of all the target tracks.The B-mode gray correlative analysis was performed on the elements of this set.The track gray correlative matrix was established.And the track-to-track correlative pair was determined according to this matrix,implementing bearing only track-to-track correlative of the heterogeneous sensor.The results of simulation experiment show that this algorithm can effectively accomplish track correlation for the heterogeneous sensors consisting of radar and infrared sensor.

关 键 词：数据融合 雷达 红外传感器 异类传感器 航迹相关 灰色关联分析 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]