Snapshot localisation of multiple jammers based on receivers of opportunity

J. García-Molina, M. Crisci
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引用次数: 5

Abstract

The detection and localisation of multiple GNSS jammers in densely populated areas seems to be already a need due to the availability and proliferation of very cheap and small GNSS jammers (together with the raise of the privacy awareness), and the increasing number of services and applications relying on the GNSS signals for its operation. Densely populated areas do not only introduce the possibility to have several jamming devices in close locations, but also the availability of a relatively large number of users and devices that could be exploited as Receivers of Opportunity (RoO) for detecting and localising jammers located in the same area. In this context, the evolution of the Internet of Things and cloud computing, with devices connected to the Internet and applications running in the cloud, makes possible to think about a cloud-based localisation of jammers exploiting the signal snapshots gathered by those RoOs. This paper presents and discusses the snapshot localisation of multiple jammers based on the estimation of TDOA and FDOA measurements between RoOs, and the clustering process necessary to be performed before the multiple jammers can be localised, process that is proposed to be done in the position domain. The simulation results presented show that the localisation of multiple jammers, even in close locations, is feasible, and accuracies in the order of few meters should be achievable.
基于机会接收器的多干扰机快照定位
由于非常便宜和小型GNSS干扰机的可用性和扩散(以及隐私意识的提高),以及依赖GNSS信号运行的服务和应用数量的增加,在人口稠密地区检测和定位多个GNSS干扰机似乎已经是一种需要。人口密集的地区不仅可能在近距离放置几个干扰设备,而且还可能存在相对大量的用户和设备,这些用户和设备可以作为机会接收器(RoO)来探测和定位位于同一地区的干扰器。在这种情况下,随着物联网和云计算的发展,设备连接到互联网,应用程序在云中运行,使得考虑利用这些roo收集的信号快照进行基于云的干扰器本地化成为可能。本文提出并讨论了基于roo之间的TDOA和FDOA测量估计的多干扰机的快照定位,以及在多个干扰机可以定位之前需要执行的聚类过程,该过程被提议在位置域中完成。仿真结果表明,即使在距离较近的位置,多干扰器的定位也是可行的,并且可以达到几米量级的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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