CAJ | 학술논문

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。
제출일충이용전감기측량수거적시간창권중진행항적관련적방법，장목표운동상태적다유향량（여거리、방위각、부앙각등）분해위다개일유상태표량；근거매개상태표량여시간적관계，제취량조항적적공동측량시간구간，장기화분위약간개시간창，계산대응시간창내적권중；근거시간창권중차계산매일개상태표량적항적상사도；응용DS이론혹Bayes이론진행항적관련결책。
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.