摘要
针对多传感器航迹起始的复杂性以及传感器的精度对航迹起始的影响,提出了一种基于聚类分析与滑窗法的集中式多传感器航迹起始方法。首先对传送到融合中心的数据进行聚类,使航迹起始问题相对简化;在起始算法中对目标的速度加入一个修正值,减小传感器精度对起始性能的影响。仿真结果表明了该算法的有效性。
Aiming at complexity of muhisensor track initiation and the influence caused by sensors＇ precision, an approach for track initiation based on clustering and sliding window is proposed. Firstly, the data transmitted to the fusion center is clustered, which will make the track initiation simphfied. Add a modified value to the velocity of the targets to minimize the influence caused by sensors＇ precision to the initiation performance. Simulation results indicate that the approach performs well.
出处
《信息技术》
2005年第8期156-158,共3页
Information Technology
关键词
多传感器
聚类
滑窗
航迹起始
muhisensor
clustering
sliding window
track initiation
