Ground Localization with a Drone and UWB Antennas: Experiments on the Field

Francesco Betti Sorbelli, M. C. Pinotti
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引用次数: 4

Abstract

In this work, we evaluate the accuracy of the Drone Range-Free (DRF) localization algorithm presented in the literature on a simple test-bed built using the Decawave Ultra Wide Band (UWB) Sensors Kit MDEK1001 and a customary drone. DRF localizes an IoT device at the intersection of the perpendicular bisectors of two chords of its receiving disk. Despite its simplicity and elegance, DRF poses great challenges in a real implementation on the field because the device's receiving disk is in reality far from a perfect circle. We solve this problem by relaxing the range-free assumption and by discovering almost perfect inner-circles in the IoT-device receiving disk using the ability of the MDEK1001 sensors of taking distance measurements. With a set of simplified experiments that aim to localize a single antenna, we show that, using the inner-circle method, we significantly improve on the localization accuracy without loosing the DRF simplicity and elegance. The accuracy of the new inner-circle method, along with that of a simplified range-based multilateration method, is also proved by localizing three antennas posed at the vertices of a pre-determined triangle.
无人机和超宽带天线的地面定位:现场实验
在这项工作中,我们在使用十波超宽带(UWB)传感器套件MDEK1001和常规无人机构建的简单测试台上评估了文献中提出的无人机无距离(DRF)定位算法的准确性。DRF将物联网设备定位在其接收磁盘的两条弦的垂直平分线的交叉处。尽管DRF简单而优雅,但由于设备的接收磁盘实际上远非一个完美的圆,因此在现场的实际实现中面临着巨大的挑战。我们通过放松无距离假设和使用MDEK1001传感器进行距离测量的能力在物联网设备接收盘中发现几乎完美的内圆来解决这个问题。通过一组针对单个天线定位的简化实验,我们表明,使用内圆方法可以显著提高定位精度,而不会失去DRF的简单性和优雅性。通过对预先确定的三角形顶点处的三根天线进行定位,证明了新内圆法和简化的基于距离的乘法法的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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