摘要
文章基于并行多传感器联合概率数据关联算法,提出了一种杂波环境下的多传感器多机动目标跟踪算法,首先使用融合算法将红外和雷达的量测进行异步和同步融合,然后应用融合后的量测,采用IMM算法实现对机动目标的跟踪。在仿真实验中分别跟踪单个和多个目标,结果表明该算法可以解决两种传感器的量测不同步问题,同时可以消除漏检现象对目标跟踪的影响,并能保证一定的跟踪精度。
Infrared sensor and radar are the most common sensors in target tracking system, their measurements are asynchronous. Based on parallel multi-sensor joint probabilistie data association algorithm, a multi-sensor multi-targot tracking algorithm under clutter is proposed. Firstly asynchronous fusion and synchronous fusion are carried out with measurements from infrared sensor and radar, then the fused measurements and IMM algorithm are applied to accomplish multiple maneuvering targets tracking. Using this algorithm to track single and multiple maneuvering targets, simulation results show it can solve asynchronous problem of measurements of two seusors, meanwhile tracking precision can be guaranteed.
出处
《激光与红外》
CAS
CSCD
北大核心
2007年第2期170-174,共5页
Laser & Infrared
关键词
红外传感器
雷达
数据融合
机动目标
杂波
infrared sensor
radar
data fusion
maneuvering target
clutter
