On the Effect of Data Contamination on Track Purity

Ickowicz Adrien; Le Cadre J.-Pierre

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On the Effect of Data Contamination on Track Purity

机译：数据污染对轨道纯度的影响

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The work presented here is concerned with performance analysis for data association, in a target tracking environment. Effects of misassociation are considered in a simple (linear) multiscan framework so as to provide closed-form expressions of the probability of correct association. We focus here on the development of explicit approximations of this probability. Via rigorous calculations the effect of dimensioning parameters (number of scans, false measurement positions or densities) is analyzed, for various modelings of the false measurements. Remarkably, it is possible to derive very simple expressions of the probability of correct association which are independent of the scenario kinematic parameters.

机译：本文介绍的工作涉及目标跟踪环境中数据关联的性能分析。在一个简单的（线性）多重扫描框架中考虑了误关联的影响，以便提供正确关联概率的闭式表达式。在这里，我们专注于这种可能性的显式近似的发展。通过严格的计算，分析了尺寸参数的影响（扫描次数，错误的测量位置或密度），用于错误测量的各种建模。值得注意的是，有可能获得与场景运动学参数无关的非常简单的正确关联概率表达式。

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《IEEE Transactions on Aerospace and Electronic Systems》 |2013年第4期|2751-2767|共17页
作者
Ickowicz Adrien; Le Cadre J.-Pierre;
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CSIRO, Australia|c|;

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机译：论数据污染对轨道纯度的影响

On the Effect of Data Contamination on Track Purity

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