一个机动目标跟踪数据分析系统的实现
Implementation of a Maneuvering Target Tracking Data Analysis System
本文提出了一种机动跟踪数据分析系统具体实现方案。系统首先对雷达采集的数据进行预处理,随后使用内插外推法将各雷达采集的数据时间对准,然后通过航迹关联滤波完成航迹的关联,最后使用扩展卡尔曼滤波。仿真实验结果表明,在扩展卡尔曼滤波算法的基础上,增加基于“当前”统计模型的自适应滤波算法对加速度方差公式进行修正,可以很好的解决融合结果发散的问题,提高数据融合的精度。
his article proposes a concrete implementation of maneuvering target tracking data analysis system. Firstly, it pre-processes the data collected by radars, using insert-extrapolation to make the timers of these data matched. Secondly, the system will use track-conjunction filtering to complete the association of the tracks. Finally, the extended Kalman filter with a self-adaptive filtering algorism, which is used to modify square-difference of accelerations based on the current statistics results, is adopted in track-merging. The system simulation shows the divergence in track-merging could be better solved and higher data merging accuracy can be achieved in the proposed approach.
郭庆平、章必雄、杜俊吟
雷达电子对抗航空航天技术
机动目标跟踪、卡尔曼滤波、数据融合
Maneuvering Target Tracking、Kalman filter、data merging
郭庆平,章必雄,杜俊吟.一个机动目标跟踪数据分析系统的实现[EB/OL].(2007-03-23)[2025-08-23].http://www.paper.edu.cn/releasepaper/content/200703-386.点此复制
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