CAJ | 학술논문

针对利用有限集统计理论对声学WSN下的多目标跟踪时，无法实现前后两个时刻目标状态的关联问题，利用最近邻方法和粒子标签法对WSN多目标的航迹跟踪问题进行了研究。仿真结果表明，两种算法都能够有效实现对多个目标航迹的跟踪；另外，粒子标签方法进行多目标跟踪时能够同时实现对多目标状态的估计和对多目标航迹的跟踪。
침대이용유한집통계이론대성학WSN하적다목표근종시，무법실현전후량개시각목표상태적관련문제，이용최근린방법화입자표첨법대WSN다목표적항적근종문제진행료연구。방진결과표명，량충산법도능구유효실현대다개목표항적적근종；령외，입자표첨방법진행다목표근종시능구동시실현대다목표상태적고계화대다목표항적적근종。
To solve the problem that states between two successive times can’t be associated when tracking multi-target in WSN using finite set statistic (FISST) theory,the multi-target trajectories tracking using nearest neighbor method and particle labeling method are studied. Simulations results show that two methods both can track multi-target trajectories effectively. In addition,the particle labeling method can estimate multi-target states and track multi-target trajectories at the same time when it is used for tracking multi-target.