Participatory Sensing for Localization of a GNSS Jammer

TL;DR

This paper introduces a participatory sensing approach using embedded GNSS receivers to detect and localize jammers without prior knowledge of their power or channels, outperforming existing methods.

Contribution

A novel participatory jamming localization algorithm that leverages AGC and C/N_0 estimates from commercial GNSS receivers, eliminating the need for prior jammer parameters.

Findings

Algorithm outperforms state-of-the-art localization methods.

Does not require knowledge of jammer power or channel conditions.

Effective in relevant jamming scenarios.

Abstract

GNSS receivers are vulnerable to jamming and spoofing attacks, and numerous such incidents have been reported worldwide in the last decade. It is important to detect attacks fast and localize attackers, which can be hard if not impossible without dedicated sensing infrastructure. The notion of participatory sensing, or crowdsensing, is that a large ensemble of voluntary contributors provides the measurements, rather than relying on dedicated sensing infrastructure. This work considers embedded GNSS receivers to provide measurements for participatory jamming detection and localization. Specifically, this work proposes a novel jamming localization algorithm, based on participatory sensing, that exploits AGC and C/N_0 estimates from commercial GNSS receivers. The proposed algorithm does not require knowledge of the jamming power nor of the channels, but automatically estimates all parameters. The algorithm is shown to outperform similar state-of-the-art localization algorithms in relevant scenarios.