Kinematic separation point estimation using PMHT

D. Dunham, Scott E. August
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Abstract

When two objects separate there is typically a period of time after the separation when the two objects are unresolved by a radar. This is due to the radar range bin resolution, which will keep two returns as one measurement until there is a clear separation. At that point, a new track will start, but where exactly did the objects separate? The actual separation point may be of interest and finding that separation point is the topic of this paper.1 2 Using the PMHT algorithm allows measurements to be “shared” between tracks, and therefore, makes an excellent algorithm for when there are closely-spaced unresolved measurements. After a separation event, while the measurements are still unresolved, there will be only one measurement for the two objects. PMHT is quite comfortable with this situation when there are fewer measurements than there are objects because the PMHT has to know a priori how many objects there are. When a new track starts, the PMHT separation point estimation algorithm will be called. Then the PMHT algorithm can add in the unresolved measurements backwards in time to determine the likely separation point.
基于PMHT的运动分离点估计
当两个物体分离时,通常在分离后的一段时间内,雷达无法分辨这两个物体。这是由于雷达距离本分辨率,它将保持两个返回作为一个测量,直到有一个明确的分离。在这一点上,一个新的轨道将开始,但物体究竟在哪里分离?实际的分离点可能是有趣的,找到分离点是本文的主题。使用PMHT算法可以在轨道之间“共享”测量值,因此,当存在间隔很近的未解析测量值时,它是一个很好的算法。在分离事件之后,虽然测量仍然未解决,但两个对象将只有一次测量。当测量量少于对象数量时,PMHT非常适应这种情况,因为PMHT必须先验地知道有多少对象。当新轨道启动时,将调用PMHT分离点估计算法。然后,PMHT算法可以在时间上向后添加未解析的测量值,以确定可能的分离点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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