首页> 外文期刊>Journal of network and computer applications >New signal location method based on signal-range data for proximity tracing tools
【24h】

New signal location method based on signal-range data for proximity tracing tools

机译:基于邻近跟踪工具的信号范围数据的新信号定位方法

获取原文
获取原文并翻译 | 示例

摘要

Several technological solutions have emerged over the last several months to support proximity contact tracing to fight the COVID-19 pandemic. For this reason, today more than ever, accurate signal location is needed, even in indoor public areas (supermarkets, public transport, etc.). In a previous work, we proposed five methods to solve the problem of signal localization using elements of pole-polar geometry. The proposals were innovative, since they solved a geometric problem (locating a point in a coordinate system) only by applying concepts of geometry. Among these developed methods, the PPC (Pole-Polar Centroid model) was also presented. Although the PPC solves the problem of locating a device with better precision than conventional methods (based on numerical or optimization methods), its accuracy was found to be the worst among the five proposed geometric methods. In this context, this work proposes an extension to our PPC method, called the weighted Pole-Polar Centroid method (wPPC), which improves the accuracy of the previous PPC results. Such an extension does not change the complexity O(m(2)) or the minimum dimensionality (m = 2) of nodes, which integrate a location network to perform the triangulation of such signals. Moreover, this extension estimates a device's location coordinates by means of the interaction, via signals, of this device with the network nodes distributed in any coordinate system. An IEEE 802.11 network infrastructure is used to accomplish the experiments. Errors in signal data are common, and our new proposed method, the wPPC, can mitigate the influence of these errors, produce more accurate results than the PPC, and outperform some of the other four proposed geometric methods and current numeric methods. Despite the use of an IEEE 802.11 network infrastructure for testing here, this range-based method for signal triangulation can be applied to any signal type (such as Wi-Fi, Bluetooth, and light and sound propagation).
机译:在过去的几个月里出现了几个技术解决方案,以支持接近接触跟踪来对抗Covid-19大流行。出于这个原因,即使在室内公共区域(超市,公共交通等)中,今天需要准确的信号位置。在以前的工作中,我们提出了五种方法来解决信号定位的问题,使用极极的几何元素。提案是创新性的,因为它们才通过应用几何概念来解决几何问题(在坐标系中定位一个点)。在这些开发的方法中,还提出了PPC(极性质心模型)。尽管PPC解决了定位具有比传统方法更好的精确度的设备的问题(基于数值或优化方法),但其精度被发现是五种所提出的几何方法中最差的。在这种情况下,这项工作提出了对我们PPC方法的扩展,称为加权极性质心法(WPPC),这提高了先前PPC结果的准确性。这种扩展不改变节点的复杂度O(m(2))或最小维度(m = 2),该节点集成了位置网络以执行这种信号的三角测量。此外,该扩展通过在任何坐标系中分布的网络节点估计该设备的交互,通过信号的相互作用的位置坐标。 IEEE 802.11网络基础架构用于完成实验。信号数据中的错误是常见的,我们的新建议方法是WPPC可以减轻这些错误的影响,产生比PPC更精确的结果,并且优于其他四个建议的几何方法和当前数字方法。尽管使用IEEE 802.11网络基础设施进行测试以进行测试,但该基于信号三角测量的基于范围的方法可以应用于任何信号类型(例如Wi-Fi,蓝牙,光和声音传播)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号