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A Theoretical Error Analysis on Indoor TOA Localization Scheme Using Unmanned Aerial Vehicles

机译:基于无人机的室内TOA定位方案的理论误差分析

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Unmanned aerial vehicle (UAV) is attractive for indoor localization where conventional localization means are unavailable such as global positioning system (GPS) satellites and pre-installed wireless anchor nodes. The advantage of indoor localization using UAVs is that even when only few UAVs are available, if each of them ranges a target node many times from different locations while flying around, the localization accuracy can be improved, because it virtually increases the number of UAVs, namely, anchor nodes. However, the locations of UAVs are also estimated by GPS, so they can contain some errors in themselves. Furthermore, the channels between UAVs and a target node are likely to be in non-line-of-sight (NLOS) conditions, so the NLOS range biases worsen the localization accuracy. In this paper, for time-of-arrival (TOA) localization scheme, we theoretically analyze the effects of UAV location errors and NLOS range errors on the indoor localization error. Using perturbation method in the theoretical analysis, we derive a simple equation connecting these errors and localization error, and discuss dominant factors and achievable accuracy using realistic system parameters.
机译:无人飞行器(UAV)对于无法使用常规定位手段(例如全球定位系统(GPS)卫星和预安装的无线锚点节点)的室内定位具有吸引力。使用无人机进行室内定位的优势在于,即使只有很少的无人机可用,如果每个无人机在飞行过程中从不同位置多次瞄准目标节点,也可以提高定位精度,因为它实际上增加了无人机的数量,即锚节点。但是,无人机的位置也是通过GPS估算的,因此它们本身可能会包含一些误差。此外,无人机与目标节点之间的通道可能处于非视距(NLOS)条件下,因此NLOS范围偏差会恶化定位精度。本文针对到达时间(TOA)定位方案,从理论上分析了无人机定位误差和NLOS距离误差对室内定位误差的影响。在理论分析中使用摄动法,我们导出了一个将这些误差和定位误差联系起来的简单方程,并讨论了使用实际系统参数得出的主导因素和可达到的精度。

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