Dr. Sanjeev Gunawardena Air Force Institute of Technology | Zachary Clements University of Texas at Austin |
Abstracts in this session are listed alphabetically. Following peer review of the full manuscripts, each abstract will be designated as a primary or as an alternate presentation.
Advancing Towards a Comprehensive GNSS Interference Management Framework: A Deep Learning Neural Network Approach for Classification of FM Chirp Jammers: Yasmine Chaiben, University Gustave Eiffel; Syed Ali Kazim, IRT Railenium; Juliette Marais, University Gustave Eiffel | |
ASPIS: A Comprehensive AI-Powered GNSS Anti-Spoofing Solution for Modern Navigation and Timing & Synchronization Systems: Franco Gottifredi, Andrea Basciu, Joseph Locantore, WAY4WARD s.r.l.; Luca Cucchi, and Andrea Piccolo, European Commission Joint Research Centre | |
Beam Steering Adaptive Noise Cancellation with a Controlled Reception Pattern Antenna for GNSS Anti-Jamming: Jacob W. Harris and David M. Bevly, Auburn University | |
Clock Bias Drift Monitoring to Discriminate GNSS Signal after Prolonged Signal Loss: Jose Manuel Rubio Hernan, SAMOVAR, Institut Polytechnique de Paris; Christian Gentner, Institute of Communications and Navigation, German Aerospace Center (DLR); Alexandre Vervisch-Picois, Nel Samama, SAMOVAR, Institut Polytechnique de Paris | |
Data-Driven Analysis of PNT Resilience: Insights and Lessons from Jammertest 2024 Vehicular Data: Jaakko Yliaho, Petri Välisuo, Elham Ahmadi, Kannan Selvan, Mahmoud Elsanhoury, School of Technology and Innovations, University of Vaasa; Heidi Kuusniemi, School of Technology and Innovations, University of Vaasa & Finnish Geospatial Research Institute, National Land Survey | |
Determining Protection Levels Using Multiple Antennas Under Spoofing Conditions: Juan Blanch, Sherman Lo, Yu-Hsuan Chen, Argyris Kriezis, Todd Walter, Stanford University | |
Electromagnetic Interference from Consumer Electronics on GNSS Performance in Smartphones: Mikhael Russo, Dept. of Control and Computer Eng., Politecnico di Torino; Cristian Carallo, Dept. of Control and Computer Eng., Politecnico di Torino; Riccardo Tommasi, Dept. of Control and Computer Eng., Politecnico di Torino; Andrea Nardin, Dept. of Electronics and Telecommunications, Politecnico di Torino | |
Jammer Source Localization with Federated Learning: Mariona Jaramillo Civill, Peng Wu, Electrical and Computer Engineering Dept., Northeastern University; Andrea Nardin, Dept. of Electronics & Telecommunications, Politecnico di Torino; Tales Imbiriba, Dept. of Computer Science, University of Massachusetts Boston; Pau Closas, Electrical and Computer Engineering Dept., Northeastern University | |
Prototyping SBAS Message Authentication: Todd Walter, Jason Anderson, Stanford University; Jed Dennis, Tetra Tech | |
Range Authentication of Galileo E1 / E5a Signals Using the A-CAS Method on a GNSS HW Receiver: Benedikt Schreiber, Fabio Garzia, Rocío Parra, Himanshu Gupta, Matthias Overbeck, and Alexander Rügamer, Fraunhofer IIS | |
Scalable, Occlusion-Aware Geolocation of Ground-Based GNSS Jammers with Networked Smartphones: Glenn Jones, Daniel Broyles, Tim Machin, and Frank van Graas, Air Force Institute of Technology | |
Self-Supervised Federated GNSS Spoofing Detection with Opportunistic Data: Wenjie Liu and Panos Papadimitratos, Networked Systems Security Group, KTH Royal Institute of Technology | |
Towards Faster Interference Classification: LSTM-Based Approach with Spectrogram: Iman Ebrahimi Mehr, Politecnico di Torino; Gianfranco Caputo, Maurizio Fantino, Dario Salza, Fondazione LINKS; Fabio Dovis, Politecnico di Torino | |
Towards Robust Collaborative DGNSS in the Presence of Byzantine Attacks: Helena Calatrava, Electrical and Computer Engineering Dept., Northeastern University; Daniel Medina, Institute of Communications and Navigation, German Aerospace Center (DLR); Pau Closas, Electrical and Computer Engineering Dept., Northeastern University |