海报:基于相移测量的nlos感知定位

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

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Poster: NLOS-aware Localization Based on Phase Shift Measurements
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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