Localization techniques for traffic applications based on robust WECOLS positioning in wireless sensor networks

Richard Weber, Erik Mademann, O. Michler, S. Zeisberg
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引用次数: 5

Abstract

We consider localization techniques based on wireless sensor networks (WSN), which are a promising technology to achieve highly accurate positioning solutions. Hence, this paper provides an overview of the concept of localization in modern railway applications, e.g. locating trains in storage sidings. Different geometrical scenarios are analyzed by using real measurement data. Generally, position estimation in WSNs is based on distance measuring by means of time-of-flight (TOF) ranging techniques. To employ radio frequency - (RF) based positioning here, we introduce weighting combinations least squares (WECOLS), an extended LS positioning approach, for computing positions by determining the space of possible estimations generated from the input data. Furthermore we investigate WECOLS according to accuracy compared with LS and least median squares (LMS).
基于无线传感器网络鲁棒WECOLS定位的交通应用定位技术
我们考虑了基于无线传感器网络(WSN)的定位技术,这是一种有前途的技术,可以实现高精度的定位解决方案。因此,本文概述了定位概念在现代铁路应用中的应用,例如将列车定位在存储侧板中。利用实测数据对不同的几何场景进行了分析。一般来说,无线传感器网络的位置估计是基于飞行时间(TOF)测距技术测量距离。为了在这里采用基于射频(RF)的定位,我们引入加权组合最小二乘(WECOLS),这是一种扩展的LS定位方法,通过确定从输入数据生成的可能估计的空间来计算位置。此外,我们根据与LS和最小中位数二乘(LMS)相比的准确性来研究WECOLS。
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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