摘要
目前分布式无源多目标跟踪系统的航迹关联算法基本上照搬多传感器数据融合的理论,仅利用目标的状态信息。文中利用了目标的多特征信息(载频、脉宽、脉冲重复间隔等),应用灰关联理论,提出了一种基于灰关联的分布式无源多目标跟踪系统的航迹关联算法。由于利用了目标多特征信息,算法具有关联速度快、正确率高、而且能够适应密集目标环境的优点。仿真实验证明该算法的航迹关联效果明显优于加权航迹关联算法。
Presently the track association algorithms for distributed multi-target passive tracking system always use theory of multi-sensor information fusion directly,in other words,only state information of targets is used.A new track association algorithm based on gray correlation analysis of multi-feature such as frequency pulse-width and PRI in distributed multi-target passive tracking system is proposed.The algorithm has such advantages as faster association speed,higher correctness and it can adapt to circumstance of dense targets because of use of multi-feature information.Simulation proves that this algorithm is superior to weighted track association.
出处
《现代雷达》
CSCD
北大核心
2010年第1期48-51,共4页
Modern Radar
关键词
灰关联
无源跟踪
航迹关联
gray correlation analysis passive tracking track association
