Improved localization method in a WSN by using frequency diversity and a channel model
Improved localization method in a WSN by using frequency diversity and a channel model
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使用频率分集和信道模型改进 WSN 中的定位方法
DOI：
10.23919/gemic.2018.8335043
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
A. Heuberger
中科院分区：
文献类型：
--
作者：
M. Hartmann;T. Nowak;J. Robert;J. Thielecke;A. Heuberger
在野生动物跟踪中，定位系统面临的挑战是资源限制，例如重量、尺寸和能耗。提出了一种基于接收信号强度（RSS）的高效定位系统.利用频率分集效应提高定位精度。此外，两种不同的定位方法的基础上的RSS进行了比较。一种用于到达方向（DoA）估计的基于具有定向天线的RSS差测量的方法和一种用于组合DoA和距离估计的基于路径损耗模型的增强方法。对于这两种方法的定位结果进行了讨论，并提出了所使用的模型。最后，现场试验的测量结果表明，频率分集和增强的定位方法的定位精度的真实的改善。
In wildlife tracking the challenges for localization systems are the resource limitations e.g. weight, size and energy consumption. A very resource efficient localization system based on received signal strength (RSS) is presented. The effects of frequency diversity are used to improve the localization accuracy. Furthermore, two different localization methods based on the RSS are compared. A method based on RSS difference measurements with directional antennas for a direction of arrival (DoA) estimation and an enhanced method based on a path-loss model for combined DoA and range estimation. For both methods the localization results are discussed and the used models are presented. Finally, the measurement results of a field trial show the real localization accuracy improvements of the frequency diversity and the enhanced localization approaches.