多目标跟踪雷达跟踪质量估计

T. W. Jeffrey
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引用次数: 14

摘要

提出了一种多目标跟踪雷达(如电子扫描阵列雷达或随扫跟踪系统)跟踪质量估计方法。假设跟踪误差残差和误差方差估计是可用的,就像使用最小方差跟踪滤波器的情况一样。选择归一化距离函数作为目标瞬时航迹质量的直接度量。使用递归衰落记忆滤波器对其进行平滑,以提供航迹质量的估计。然后将统计假设检验应用于轨道质量估计,以确定目标轨道何时达到给定应用程序的指定质量。该方法可以对航迹中的每个目标实现,并且只使用许多多目标跟踪雷达使用的返回航迹关联算法已经需要的数据。此外,该技术适用于主动和被动雷达操作,并且可以很容易地扩展到包含替代或额外的质量标准
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Track quality estimation for multiple-target tracking radars
A method is developed for estimating track quality for a multiple-target tracking radar, such as an electronically scanned array radar or track-while-scan system. It is assumed that tracking error residuals and error variance estimates are available, as is the case when minimum-variance track filters are used. A normalized distance function is selected as the direct measure of a target's instantaneous track quality. It is smoothed using a recursive fading memory filter to provide an estimate of track quality. A statistical hypothesis test is then applied to the track quality estimates to determine when target tracks have achieved a specified quality for the given application. This procedure can be implemented for each target in track, and it uses only data already required by the return-to-track association algorithms used by many multiple-target tracking radars. In addition, the technique is applicable to both active and passive radar operation, and it can easily be extended to incorporate alternate or additional quality criteria.<>
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