摘要
针对传统群目标质心跟踪算法不能提供群内单个目标的精确航迹信息的缺点,提出了一种基于多假设思想的群目标跟踪算法。该算法除维持群以外,利用多假设处理复杂数据关联问题的能力,将对群中的单个目标形成航迹,并对箔条干扰、有源干扰等极端情况进行了处理,保证跟踪的稳定性。通过实验对该算法进行了验证,结果表明该算法能对群内相互靠近的目标进行精确跟踪,在密度为1×10-6个/m2的杂波环境下也能保持跟踪稳定性。
Considering the limitation of the traditional group-targets centroid tracking methods in tracking individual targets exactly, a new group tracking algorithm is proposed based on the Multiple Hypothesis Tracking （MHT） concept. The algorithm is different with general centroid group tracking method. It not only maintains the groups, but also tracks the individual targets by using MHT to deal with complicated data association problem. The extreme situations, for example, when ECM and chaffs exist, are taken into account to prove tracking stability. Finally, plenti- ful simulations are carried out to evaluate the algorithm＇ s performance and the simulation results indicate that the closely spaced objects in group are accurately tracked by the proposed algorithm and the tracking maintain stability when in the clutter environment which the clutter density is 1 × 10-6 per square meter.
出处
《计算机工程与应用》
CSCD
2012年第35期243-248,共6页
Computer Engineering and Applications
关键词
数据关联
群目标跟踪
多假设跟踪(MHT)
群目标质心跟踪
data association
group tracking
Multiple Hypothesis Tracking（MHT）
group-targets centroid tracking
