Poster: NLOS-aware Localization Based on Phase Shift Measurements

Yannic Schröder, Georg von Zengen, L. Wolf
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引用次数: 3

Abstract

Modern cars are already able to park in parking spaces adjacent to streets. Soon autonomous cars will be able to navigate themselves through parking garages to find a parking lot assigned to them. Indoor localization is essential to qualify cars and parking garages to perform this operation. Currently the reliability of many indoor localization schemes suffers from non-line-of-sight propagation paths. We present a position estimation algorithm for indoor localization systems based on phase measurements of electromagnetic signals. Our algorithm is designed to detect and exclude measurements originating from these non-line-of-sight paths to reduce their harmful influence on the localization.
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海报:基于相移测量的nlos感知定位
现代汽车已经可以停在街道旁边的停车位上。很快,自动驾驶汽车将能够在停车场中自动导航,找到分配给它们的停车场。室内定位对于使汽车和停车场具备执行该操作的资格至关重要。目前许多室内定位方案的可靠性受到非视距传播路径的影响。提出了一种基于电磁信号相位测量的室内定位系统位置估计算法。我们的算法旨在检测和排除来自这些非视线路径的测量,以减少它们对定位的有害影响。
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