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A Confidence-ellipse Based Approach for Area Measurement in Localization System

机译:定位系统中基于置信椭圆的面积测量方法

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摘要

Angle-of-arrival(AOA) based passive localization is an important enabling technology in tracking systems. Previous work mainly focus on locating the target by making a coordinates estimation, while only a few provide ambiguous area estimation. The latter ones, however, are more applicable in military scenarios, e.g. warship tracking, since ambiguous area contains much more information than coordinates. This paper proposes a novel approach for ambiguous area estimation in AOA based localization. Comparing to existing work, confidence ellipse is used for area estimation instead of rectangle and circle. Theoretic model and parameter setting in practical uses are discussed. We conduct extensive simulations in different settings. Simulation results show that our approach provides a good tradeoff between the accuracy and the confidence for localization. It performs better than the previous work under the same localization condition based on a good performance of the tradeoff between the confidence and accuracy.
机译:基于到达角(AOA)的被动定位是跟踪系统中一项重要的使能技术。先前的工作主要集中在通过进行坐标估计来定位目标,而只有少数几个提供模糊的区域估计。但是,后者更适用于军事场景,例如军舰跟踪,因为不明确的区域比坐标包含更多的信息。本文提出了一种基于AOA定位的模糊区域估计的新方法。与现有工作相比,置信椭圆用于面积估计,而不是矩形和圆形。讨论了实际应用中的理论模型和参数设置。我们在不同的环境中进行广泛的模拟。仿真结果表明,我们的方法在定位精度和置信度之间提供了很好的权衡。基于置信度和准确性之间的良好折衷,在相同的本地化条件下,它的性能比以前的工作要好。

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