Inside GNSS Media & Research

JUL-AUG 2018

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www.insidegnss.com J U L Y / A U G U S T 2 0 1 8 Inside GNSS 37 Conclusion Given the increasing dependence on GNSS technology and its vulnerabil- ity to intentional and unintentional interference, it is important to under- stand the magnitude and evolution of the GNSS threat scene. e STRIKE3 project is addressing this need through the development of monitoring and reporting standards, the deployment of a worldwide monitoring network to test the reporting standards and to provide a database of real-world events, the development of receiver testing standards against threats, and an intensive testing activity against the detected real-world interferences in order to test the resilience of different multi-GNSS receivers. Additional Reading For more details on the European H2020 project 'STRIKE3', please refer to: STRIKE3 (2016) Standardizsation of GNSS Threat reporting and Receiver testing through International Knowledge Exchange, Experimentation and Exploitation [STRIKE3]. http://www.gnss-strike3.eu/. For more details on STRIKE3 proposed GNSS threat report- ing standards, please refer to: Thombre, S., Bhuiyan, M. Z. H., Eliardsson, P., Gabrielsson, B., Pattinson, M., Dumville, M., Fryganiotis, D., Hill, S., Mani- kundalam, V., Pölöskey, M., Lee, S., Ruotsalainen, L., Söderholm, S., Kuusniemi, H. (2017) "GNSS Threat Monitoring and Reporting: Past, Present, and a Proposed Future", The Journal of Navigation 71(3):513-529. For more details on draft standards for receiver testing against threats, please refer to: Pattinson, M., Sanguk, L., Bhuiyan, M. Z. H., Thombre, S., Manikundalam, V., Hill, S. (2017) "Draft Standards for Receiver Test- ing against Threats", available online via: http:// www.gnss-strike3.eu/. Authors Nunzia Giorgia Ferrara is a Research Scientist in the Department of Navigation and Positioning at the Finnish Geospatial Research Institute and a PhD candidate at Tam- pere University of Technology where she was a Marie Curie Fellow from 2014 to 2016. Her research focuses on multi-GNSS receiv- er design and interference detection and mitiga- tion. Dr. M. Zahidul H. Bhuiyan is working as a Research Man- ager at the Department of Navigation and Positioning in the Finnish Geospatial Research Institute. He is also serving as the head of the Sat- ellite and Radio Navigation research group of the institute. His main research interests include vari- ous aspects of multi-GNSS receiver design, GNSS vulnerabilities, SBAS, differential GNSS, etc. Amin Hashemi is a Research Scientist with the Navigation and Positioning department of the Finnish Geospatial Research Institute. His current focus is on localizing GNSS interference sources. Dr. Sarang Thombre is a Research Manager and Depu- ty Leader of the Satellite and Radio Navigation research group at the Department of Navigation and Positioning of FGI. He earned his Ph.D. degree in April 2014 from Tampere University of Technology, Finland. His research interests include GNSS receiver design and implementa- tion, autonomous vehicle PNT techniques, and RF interference to GNSS. Dr. Michael Pattinson is a Principal Navigation Engineer at NSL and jointly leads the Safety and Integrity business unit. His main activities include advanced position techniques (high accuracy and high integrity), as well as GNSS performance monitoring and anomaly investigation to enhance GNSS robustness and reliability. FIGURE 6 Drop in average C/N 0 of satellites used in position fix 5 0 –5 –10 –15 –20 –25 –30 –35 –40 –45 5 0 –5 –10 –15 –20 –25 –30 –35 –40 –45 389100 12:05 389700 12:15 390300 12:25 390900 12:35 391500 12:45 392100 12:55 GPS Time (s) UTC Time (HH:MM) Mass-market RUT Average Δ C/N 0 (w.r.t baseline) 70 60 50 40 30 20 10 0 Jamming/GNSS signal power ratio [dB] 389100 12:05 389700 12:15 390300 12:25 390900 12:35 391500 12:45 392100 12:55 GPS Time (s) UTC Time (HH:MM) Professional grade RUT Average Δ C/N 0 (w.r.t baseline) 70 60 50 40 30 20 10 0 Jamming/GNSS signal power ratio [dB] Maximum horizontal position error (m) Maximum vertical position error (m) Position fix availability J/S PVT_lost (dB) TTRP (s) Test case Baseline Test case Baseline Test case Baseline Mass- market RUT 78.8 0.74 167.4 1.7 97.91% 100% 60 1 Professional grade RUT 0.72 0.28 0.78 0.41 58.58% 100% 40 10 Table 3. Sensitivity tests results

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