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A Study on Localization in Wireless Sensor Networks using Frequency Diversity for Mitigating Multipath Effects

机译:利用频率分集缓解多径效应的无线传感器网络定位研究

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Self-localization capability is for many ad-hoc network deployments an essential feature. Unfortunately, the radio environment introduces a several phenomenons which negatively influence the accuracy of the localization. In this paper we investigate the effect of multipath propagation in outdoor environment on accuracy of localization and propose a method using frequency diversity for RSS measurement in order to mitigate the fading caused by multipath propagation. To that end, a localization algorithm based on least square minimization of measured distance and weighted centroid algorithm are used to verify the frequency diversity concept. The results of simulations and measurements are presented also with the relation to an antenna height.
机译:自我定位功能是许多临时网络部署的一项基本功能。不幸的是,无线电环境引入了几种现象,这些现象对定位的准确性有负面影响。在本文中,我们研究了室外环境中多径传播对定位精度的影响,并提出了一种使用频率分集进行RSS测量的方法,以减轻由多径传播引起的衰落。为此,使用了基于测得距离的最小二乘最小化的定位算法和加权质心算法来验证频率分集概念。还给出了仿真和测量结果以及与天线高度的关系。

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