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Multi-technology RF fingerprinting with leaky-feeder in underground tunnels

机译:地下隧道中带有漏泄物的多技术RF指纹识别

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摘要

Techniques using RSS fingerprinting for localization have been studied over a number of ifferent technologies in many different scenarios. In the case of underground tunnels localization can be quite challenging, yet it is extremely important for safety reasons. In the specific case of the CERN tunnels, accurate and automatized localization methods would additionally allow the orkflow of some activities to become substantially faster. In a radiation area this would also have the added benefit of reducing the exposure time of personnel conducting so called radiation surveys which have to be carried out before access can be granted.In this paper Fingerprinting techniques for GSM and Wireless LAN are studied and enhanced to ake advantage of both network technologies simultaneously as well as the channels RSS differential and an observed effect in the radiated power in the leaky-feeder cables. Besides the higher accuracy achieved for a single technology, this methodology looks promising for scenarios where several types of wireless networks are available or expected to be installed at a later stage.
机译:在许多不同的场景中,已对使用RSS指纹进行本地化的技术进行了研究。在地下隧道中,本地化可能会非常困难,但出于安全原因,这非常重要。在CERN隧道的特定情况下,准确而自动化的定位方法将另外使某些活动的Orkflow变得更快。在辐射区域,这还可以带来额外的好处,即可以减少进行所谓的辐射调查的人员的暴露时间,而辐射调查必须在准予进入之前进行。本文针对GSM和无线局域网的指纹技术进行了研究,并将其改进为同时利用这两种网络技术以及通道RSS差分的优势,以及泄漏馈线电缆中辐射功率的观察效果。除了可以通过单一技术获得更高的精度外,这种方法还有望在某些无线网络可用或预计在稍后阶段安装的情况下发挥作用。

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