Jammer Localization: From Crowdsourcing to Synthetic Detection

众包 干扰 软件部署 弹道 计算机科学 噪音(视频) 实时计算 事件(粒子物理) 集合(抽象数据类型) 人工智能 物理 热力学 操作系统 图像(数学) 万维网 程序设计语言 量子力学 天文
作者
Daniele Borio,Ciro Gioia,Andrej �tern,Franc Dimc,Gianmarco Baldini
出处
期刊:Proceedings of the Satellite Division's International Technical Meeting 卷期号:: 3107-3116 被引量:16
标识
DOI:10.33012/2016.14689
摘要

Jammer localization is usually performed through the deployment of a complex infrastructure where several nodes simultaneously monitor the frequency bands to be protected from jamming. In this paper, two alternative approaches for jamming localization are investigated. They are based on Carrier-to-Noise density power ratio (C/N0) measurements and do not require the deployment of a complex infrastructure. The first approach is based on the synthetic array principle which is based on the idea that a set of sensors in different positions in space can be replaced by a single sensor which is moving along a known trajectory. The measurements taken by the moving sensor in different positions can be considered equivalent to those collected by the nodes of the physical array. The second approach is based on crowdsourcing where collective detection/location of jammers is performed using the potential of a large number of smartphones simultaneously observing a jamming event. The two approaches are empirically investigated using the data collected during the experimental campaigns performed in the proximity of the remote village of Crnotice, Slovenia.

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