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Continuous time representation of multiple hypothesis track data

机译:多个假设跟踪数据的连续时间表示

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Abstract: A multiple hypothesis tracking (MHT) system produces multiple data association hypotheses that potentially consist of several tracks on the same target. The relative likelihood of these tracks changes as data are received. Also, the manner in which an MHT system produces and deletes tracks leads to a potential discontinuity in the track numbers associated with a given target. Thus, the direct output of an MHT tracker may be difficult to interpret on a system display or to use to perform track-to-track association in a multiple sensor tracking system. This paper presents a methodology so that the best tracks on a set of targets can be identified and a link provided with previously identified tracks. This allows a multiple sensor tracking system to maintain track-to-track association histories over time. Also, although track numbers change internal to the MHT logic, the methods presented in this paper lead to a user output such that a single track number is maintained on a given target throughout an encounter. Thus, this paper presents a solution to one of the major practical problems associated with the implementation of an MHT system.!10
机译:摘要:多重假设跟踪(MHT)系统产生多个数据关联假设,这些假设可能由同一目标上的多个轨道组成。这些轨迹的相对可能性随数据的接收而变化。而且,MHT系统产生和删除轨道的方式导致与给定目标相关联的轨道号的潜在不连续性。因此,MHT跟踪器的直接输出可能难以在系统显示器上解释或难以用于在多传感器跟踪系统中执行跟踪到跟踪的关联。本文提出了一种方法,可以确定一组目标上的最佳轨迹,并提供一条与先前确定的轨迹相关的链接。这允许多传感器跟踪系统随着时间的过去保持跟踪间的关联历史。同样,尽管磁道号在MHT逻辑内部发生变化,但本文中介绍的方法仍会导致用户输出,从而在整个遭遇中将单个磁道号保持在给定目标上。因此,本文提出了与MHT系统的实施相关的主要实际问题之一的解决方案。10

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