Snapshot localisation of multiple jammers based on receivers of opportunity

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.