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Multiple target tracking and separation technique based on texture information in range-time image using ultra-wideband radar

机译:超宽带雷达基于距离-时间图像纹理信息的多目标跟踪与分离技术

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摘要

Multiple target tracking and separation techniques using ultra-wide-band (UWB) radar are promising for use in robotic and security-related applications. Some methods for tracking and separation of echoes from multiple targets using radar texture information have been proposed. However, the conventional methods cannot be implemented in real time applications due to its iterative nature. To resolve this problem, we propose a technique that can be used in real time applications. First, we estimate the required target velocities using the texture method and multiple target velocities using an extended texture method that can determine the velocities of two targets. Second, we estimate the number of targets that exist at each pixel. Finally, we label each pixel to associate pixels based on their estimated velocities and positions. Through measurements, the proposed method succeeded in accurately tracking and separating the echoes from two pedestrians in real time.
机译:使用超宽带(UWB)雷达的多目标跟踪和分离技术有望在机器人和安全相关的应用中使用。提出了一些利用雷达纹理信息跟踪和分离来自多个目标的回波的方法。但是,传统方法由于其迭代性质而不能在实时应用中实现。为了解决这个问题,我们提出了一种可以在实时应用中使用的技术。首先,我们使用纹理方法估计所需的目标速度,并使用可以确定两个目标速度的扩展纹理方法估计多个目标速度。其次,我们估算每个像素处存在的目标数量。最后,我们根据像素的估计速度和位置标记每个像素以关联像素。通过测量,所提出的方法成功地实时准确地跟踪和分离了来自两个行人的回声。

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