一种基于空间轨迹匹配原理的目标跟踪方法

Hongbo Li, Y. Lu, Yun Zhang
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引用次数: 0

摘要

针对测量数据速率低、系统特性和目标运动复杂的情况,提出了一种改进目标轨迹跟踪质量的新方法——轨迹平滑滤波(TSF)。基于目标运动轨迹连续、平滑的空间轨迹匹配原理,对具有未知行为的目标运动过程进行回归分析,可以建立简单、鲁棒的估计模型。通过平滑滤波得到目标的状态估计,从而建立目标航迹。在实验数据上的应用表明,该滤波器具有良好的自适应性和稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A method of target tracking based on spatial trace matching principle
A new method called track smooth filter(TSF), which improves the tracking quality of target track, is presented for the situation that the measuring data rate is low, the system feature and the target movement is complicated. Based on the spatial trace matching principle that the track made by the target motion is continual and smooth, simple and robust estimation models can be constructed by the regression analysis for the target kinematics process with unknown behavior. The state estimations of the target are obtained by the smooth filter so as to establish the target track. In applications on the experimental data, it is shown that the adaptability and the stability of the track filter are well.
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