Community RF Sensing for Source Localization
Community RF Sensing for Source Localization
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DOI：
10.1109/lwc.2014.2321741
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发表时间：
2014-05
影响因子：
6.3
通讯作者：
Emmanouil Alimpertis;Nikos Fasarakis-Hilliard;A. Bletsas
中科院分区：
文献类型：
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作者：
Emmanouil Alimpertis;Nikos Fasarakis-Hilliard;A. Bletsas
这项工作通过实验证明，在距离信号源800米（或更远）的智能手机用户网络中，使用接收到的信号强度（RSS）测量，射频信号源位置估计误差约为50米。这项工作结合了对时变源发射功率、源天线方向性（即使是简单的4参数模型）和不同源用户链路中不同路径损耗指数的仔细建模。更重要的是，通过自动化社区智能手机网络收集和利用了大量的RSS测量数据。所提出的方法可以扩展到其他无线场景。
This work experimentally demonstrates RF source location estimation error on the order of 50 m, with received signal strength (RSS) measurements, from a network of smartphone users, within 800 m (or more) from the source. This work incorporates careful modeling of the time-varying source transmission power, source antenna directionality (even with a simple 4-parameter model) and different path loss exponents among the various source-user links. More importantly, a vast number of RSS measurements is collected and exploited through the automated community smartphone network. The proposed methodology could be extended to other wireless scenarios.