摘要
数据关联是多目标跟踪的重要组成部分。介绍一种无源雷达的数据关联技术,通过对一批典型目标特性分析,给出一种基于距离、方位和多普勒速度的相关算法。通过引入隶属度关联矩阵,很好地解决了多目标关联的问题,大大提升目标数据关联的准确性。实践证明,该方法切实可行,工程应用效果良好。最后,进一步分析发现,多普勒速度的量测有较好的稳定性,并将该关联特性应用到了航迹起始和机动跟踪中去,提高了跟踪的性能。
Data association is important in multi target tracking. This paper introduces a data association technique for passive radar. A association algorithm, based on range, azimuth and Doppler velocity, is proposed after analysing a typical target. The multi-target data association is solved well by using matrix of asso ciation membership. By this technique, the accuracy of data association is greatly improved. It is proved that this method is feasible and effective in engineering application. At last, it is found that the measurement data of Doppler velocity is very stable. The association property of Doppler velocity is applied to track initiation and maneuvering target tracking, which improves the tracking performance.
出处
《雷达科学与技术》
2010年第1期49-53,59,共6页
Radar Science and Technology
关键词
无源雷达
多普勒速度
数据关联
极坐标
passive radar
Doppler velocity
data association
polar coordinate
