摘要
提出一种利用传感器测量数据的时间窗权重进行航迹关联的方法,将目标运动状态的多维向量(如距离、方位角、俯仰角等)分解为多个一维状态标量;根据每个状态标量与时间的关系,提取两条航迹的共同测量时间区间,将其划分为若干个时间窗,计算对应时间窗内的权重;根据时间窗权重差计算每一个状态标量的航迹相似度;应用DS理论或Bayes理论进行航迹关联决策。
A new method using the weight in time window to associate tracks is developed. Object’s kinematic state may have many different kinds of state variables,such as range,azimuth and elevation. Each state variable is time-related mechanical characteristics. The common time range of two tracks is divided into several time windows. The weight in each time window is computed. The similarity of these two tracks based on each state variable is generated according to the weight difference in time window. Correct association can be made using DS theory or Bayes theory.
出处
《火力与指挥控制》
CSCD
北大核心
2014年第10期78-80,共3页
Fire Control & Command Control
基金
军队预研基金资助项目(102060302)
