摘要
针对多传感器目标跟踪问题,研究了一种多传感器异步航迹融合算法。由于不同传感器的采样时间各不相同,关联算法首先利用最小二乘法将局部航迹同步化,然后利用加权关联算法将局部航迹进行关联.仿真结果表明该算法能够较好地解决异步航迹的关联问题,在跟踪四个交叉目标的情况下,关联正确率接近90%.
Abstract： For problem of multi-sensor targets tracking, a multi-sensor asynchronous track association algorithm isresearched. Because the sampling rates of local sensors are different, local tracks are synchronized by using the Least Mean Square（LMS） algorithm firstly. Then the synchronized tracks are associated by using weighted association algorithm. The simulation result illustrates that this algorithm can solute the problem of asynchronous tracks association effectively at the situation of four cross targets, and the association correct rate approaches 90%.
出处
《南阳师范学院学报》
CAS
2006年第12期29-32,共4页
Journal of Nanyang Normal University
关键词
多传感器
航迹关联
最小二乘法
计算机仿真
multi-sensor
track association
least mean square
computational simulation
