Ruben Morales Ferre, Philipp Richter, A. Fuente, E. Lohan
{"title":"In-lab validation of jammer detection and direction finding algorithms for GNSS","authors":"Ruben Morales Ferre, Philipp Richter, A. Fuente, E. Lohan","doi":"10.1109/ICL-GNSS.2019.8752944","DOIUrl":null,"url":null,"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.","PeriodicalId":119581,"journal":{"name":"2019 International Conference on Localization and GNSS (ICL-GNSS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Localization and GNSS (ICL-GNSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICL-GNSS.2019.8752944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
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.