@inproceedings{f096957e73b4465ba17fe085e63fd2bf,
title = "Tackling the GNSS jamming problem using a particle filter algorithm",
abstract = "GNSS Jammers are devices that generate RF noise in the carrier frequency of the GNSS (e.g., 1.57Ghz for L1 GPS). Jamming behavior can be characterized by a sharp degradation in the SNR of the GNSS satellites. In this paper we suggest a Bayesian particle filter approach for jamming detection and localization using crowd-sourcing of Smart-Phones GNSS data. The presented algorithm computes in real-time a probabilistic map of the jammers' positions. Since a 2D histogram distribution space is generated, multiple jammers can be detected simultaneously. The presented algorithm can cope with various types of jammers - no pre-assumptions are made regarding the propagation pattern of the jammer. Experimental results showed that in less than two minutes and using only 3 smart-phones, our algorithm correctly detected a GNSS jammer within a 2 meters range in a Region-of-Interest (ROI) of 5000 m2.",
author = "Roi Yozevitch and Moshe, {Boaz Ben} and Sergei Safrigin",
note = "Publisher Copyright: {\textcopyright} Copyright 2015 IEEE All rights reserved.; 2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 ; Conference date: 03-12-2014 Through 05-12-2014",
year = "2014",
month = jan,
day = "1",
doi = "10.1109/EEEI.2014.7005870",
language = "الإنجليزيّة",
series = "2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014",
address = "الولايات المتّحدة",
}