In-lab validation of jammer detection and direction ﬁnding algorithms for GNSS

Ruben Morales Ferre; Philipp Richter; Alberto De la Fuente; Elena-Simona Lohan

doi:10.1109/icl-gnss.2019.8752944

In-lab validation of jammer detection and direction ﬁnding algorithms for GNSS

Ruben Morales Ferre, Philipp Richter, Alberto De la Fuente, Elena-Simona Lohan

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

40 Downloads (Pure)

Abstract

Our paper focuses on the detection and direction ﬁnding of jamming signals in Global Navigation Satellite System (GNSS) bands. A methodology for in-lab validation for three selected jammer detection algorithms and two selected jammer direction ﬁnding algorithms is presented and measurement-based results, for nine combinations of GNSS and jamming signals, are shown. Both chirp jammers and amplitude-modulated single-tone jammers are considered in our in-lab validation process. The algorithm selection was done based on literature studies. Power-based detectors and direction ﬁnding algorithms are considered in this paper. It is shown that the considered detectors have similar performance and good detection probabilities for Jammer-to-Signal ratio (JSR) above −10 dB and that the Minimum Variance Distortionless Response (MVDR) beamformer can estimate quite accurately the jammer’s Angle of Arrival (AoA) with JSR above 10 dB.

Original language	English
Title of host publication	2019 International Conference on Localization and GNSS, ICL-GNSS 2019
Publisher	IEEE
ISBN (Electronic)	9781728124452
DOIs	https://doi.org/10.1109/icl-gnss.2019.8752944
Publication status	Published - 2019
Publication type	A4 Article in a conference publication
Event	International Conference on Localization and GNSS - Nuremberg, Germany Duration: 4 Jun 2019 → 6 Jun 2019

Conference

Conference	International Conference on Localization and GNSS
Country/Territory	Germany
City	Nuremberg
Period	4/06/19 → 6/06/19

Keywords

Global Navigation Satellite Systems (GNSS)
in-lab validation
jammer detection
jammer direction ﬁnding

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10.1109/icl-gnss.2019.8752944Licence: Other

In-lab validation of jammer detection 2019
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Accepted author manuscript, 3.53 MBLicence: Other

http://urn.fi/URN:NBN:fi:tuni-202003042536Licence: Other

GATEMAN project -- Wide-bandwidth, high-precision GNSS and jammer raw data
Richter, P. (Creator), Morales Ferre, R. (Creator) & Lohan, E. (Creator), Tampere University of Technology, 5 Mar 2019
DOI: 10.5281/zenodo.1161297
Dataset

Cite this

@inproceedings{684a49a8b81c45c29a101c43dbc875c0,

title = "In-lab validation of jammer detection and direction ﬁnding algorithms for GNSS",

abstract = "Our paper focuses on the detection and direction ﬁnding of jamming signals in Global Navigation Satellite System (GNSS) bands. A methodology for in-lab validation for three selected jammer detection algorithms and two selected jammer direction ﬁnding algorithms is presented and measurement-based results, for nine combinations of GNSS and jamming signals, are shown. Both chirp jammers and amplitude-modulated single-tone jammers are considered in our in-lab validation process. The algorithm selection was done based on literature studies. Power-based detectors and direction ﬁnding algorithms are considered in this paper. It is shown that the considered detectors have similar performance and good detection probabilities for Jammer-to-Signal ratio (JSR) above −10 dB and that the Minimum Variance Distortionless Response (MVDR) beamformer can estimate quite accurately the jammer{\textquoteright}s Angle of Arrival (AoA) with JSR above 10 dB.",

keywords = "Global Navigation Satellite Systems (GNSS), in-lab validation, jammer detection, jammer direction ﬁnding",

author = "{Morales Ferre}, Ruben and Philipp Richter and {De la Fuente}, Alberto and Elena-Simona Lohan",

year = "2019",

doi = "10.1109/icl-gnss.2019.8752944",

language = "English",

booktitle = "2019 International Conference on Localization and GNSS, ICL-GNSS 2019",

publisher = "IEEE",

note = "International Conference on Localization and GNSS ; Conference date: 04-06-2019 Through 06-06-2019",

}

In-lab validation of jammer detection and direction ﬁnding algorithms for GNSS. / Morales Ferre, Ruben; Richter, Philipp; De la Fuente, Alberto; Lohan, Elena-Simona.

2019 International Conference on Localization and GNSS, ICL-GNSS 2019. IEEE, 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - In-lab validation of jammer detection and direction ﬁnding algorithms for GNSS

AU - Morales Ferre, Ruben

AU - Richter, Philipp

AU - De la Fuente, Alberto

AU - Lohan, Elena-Simona

PY - 2019

Y1 - 2019

N2 - Our paper focuses on the detection and direction ﬁnding of jamming signals in Global Navigation Satellite System (GNSS) bands. A methodology for in-lab validation for three selected jammer detection algorithms and two selected jammer direction ﬁnding algorithms is presented and measurement-based results, for nine combinations of GNSS and jamming signals, are shown. Both chirp jammers and amplitude-modulated single-tone jammers are considered in our in-lab validation process. The algorithm selection was done based on literature studies. Power-based detectors and direction ﬁnding algorithms are considered in this paper. It is shown that the considered detectors have similar performance and good detection probabilities for Jammer-to-Signal ratio (JSR) above −10 dB and that the Minimum Variance Distortionless Response (MVDR) beamformer can estimate quite accurately the jammer’s Angle of Arrival (AoA) with JSR above 10 dB.

AB - Our paper focuses on the detection and direction ﬁnding of jamming signals in Global Navigation Satellite System (GNSS) bands. A methodology for in-lab validation for three selected jammer detection algorithms and two selected jammer direction ﬁnding algorithms is presented and measurement-based results, for nine combinations of GNSS and jamming signals, are shown. Both chirp jammers and amplitude-modulated single-tone jammers are considered in our in-lab validation process. The algorithm selection was done based on literature studies. Power-based detectors and direction ﬁnding algorithms are considered in this paper. It is shown that the considered detectors have similar performance and good detection probabilities for Jammer-to-Signal ratio (JSR) above −10 dB and that the Minimum Variance Distortionless Response (MVDR) beamformer can estimate quite accurately the jammer’s Angle of Arrival (AoA) with JSR above 10 dB.

KW - Global Navigation Satellite Systems (GNSS)

KW - in-lab validation

KW - jammer detection

KW - jammer direction ﬁnding

U2 - 10.1109/icl-gnss.2019.8752944

DO - 10.1109/icl-gnss.2019.8752944

M3 - Conference contribution

BT - 2019 International Conference on Localization and GNSS, ICL-GNSS 2019

PB - IEEE

T2 - International Conference on Localization and GNSS

Y2 - 4 June 2019 through 6 June 2019

ER -

In-lab validation of jammer detection and direction ﬁnding algorithms for GNSS

Abstract

Conference

Keywords

Publication forum classification

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Datasets

GATEMAN project -- Wide-bandwidth, high-precision GNSS and jammer raw data

Cite this