An analytical method to compute track continuity performance measures

J. Wijnhout
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Abstract

Continuity of an initiated track is of utmost importance for surveillance and defence systems. Discontinuity introduces severe degradation of both situational and critical awareness, affecting engagement planning and combat system effectiveness. It is therefore crucial to include continuity aspects in the track performance analysis. In this contribution a new computation method of continuity measures is described. The two measures of interest are the longest track segment and the number of track numbers. The computation method requires three inputs: Detection probability per scan, the track initiation and track maintenance criteria. Closed-form expressions for the probability distributions of the track continuity measures are derived. The closed-form expressions provide a computationally efficient method to compute the track continuity performance measures. This is illustrated using a Monte-Carlo simulation of the tracking process, which requires 100.000 runs to arrive at an error smaller than 1% with a computation time more than 200 times slower than the implementation of the analytical method.
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一种计算轨道连续性性能指标的解析方法
初始跟踪的连续性对监视和防御系统至关重要。不连续性导致态势和关键意识的严重退化,影响交战计划和作战系统的有效性。因此,在赛道性能分析中包括连续性方面是至关重要的。本文描述了一种新的连续性测度计算方法。我们感兴趣的两个度量是最长的轨道段和轨道数。该计算方法需要三个输入:单次扫描检测概率、航迹起始和航迹维护准则。导出了轨道连续性测度的概率分布的封闭表达式。封闭形式的表达式为计算轨迹连续性性能指标提供了一种高效的方法。使用蒙特卡罗跟踪过程模拟说明了这一点,该过程需要100,000次运行才能达到小于1%的误差,计算时间比分析方法的实现慢200多倍。
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