Session F2: Data-Driven and Learning-Based Methods for Satellite Navigation and PNT Systems

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Date: Wednesday, September 16, 2026
Time: 1:45 p.m. - 5:30 p.m.
Location: Windsong 1-2
In-Person presenters in this session provide pre-recorded presentations for viewing by registered attendees on Wednesday, September 16.

In-Person Presentations These presentations will be given in-person at the conference. Presenters will provide a pre-recorded presentation for on-demand viewing by all registered attendees.
1:50	Blind, Laser-Validated Environment Estimation for Crowdsourced GNSS Reference Stations Hayato Shiono, Nobuaki Kubo, Tokyo University of Marine Science and Technology
2:12	Integrity Risk Mapping for Signals-of-Opportunity-based Urban UAS Navigation Asta Wu, Ashlynn Sweet, and Grace Gao, Stanford University
2:35	A Cognitive High-Sensitivity Receiver for Aerial Navigation Using Cellular 5G Signals Under Co-Channel Interference Shaghayegh Shahcheraghi and Zak (Zaher) M. Kassas, The Ohio State University
2:58	GFlowLoc: GFlowNet-Driven Adaptive Fusion for Robust Positioning in GNSS-Challenged Environments Azimbek Khudoyberdiev, Jihoon Ryoo, Department of Computer Science, The State University of New York, Department of Computer Science, The State University of New York, Korea and IDCITI Corporation
3:25 - 3:55, Break. Refreshments in Exhibit Hall
4:00	QGSL-GNSS: Q-Learning-Based Adaptive Graph Structure Learning for Semi-Supervised GNSS Interference Classification Sindhusha Jeeru, Rebekka Olsson Omslandseter, Per-Arne Andersen, University of Agder; Nadezda Sokolova, Aiden James Morrison, SINTEF Digital; Lei Jiao, University of Agder
4:23	Dual-Frequency Multi-Constellation (DFMC) SBAS Network Optimization Using Genetic Algorithms Sam Pullen, Sukrut Oak, Sherman Lo, Juan Blanch, and Todd Walter Stanford University; Mark Crews, Charles Frey, and Brice Barrett, Lockheed Martin
4:46	Ambiguity Resolution in PPP-RTK Network Processing using Machine Learning Landon Urquhart, York University & u-blox; Sunil Bisnath, York University; Rodrigo Leandro, u-blox
5:08	Machine-Learning-Based Smartphone GNSS Precise Point Positioning with an Error-Aware Attention Framework Lingmin Tan, Caitlyn Hayden, Sunil Bisnath, York University

On-Demand Presentations Pre-recorded presentations will become available for viewing by registered attendees on Wednesday, September 16.
	A Mamba-Based Framework with Residual Learning for Ionospheric TEC Forecasting Haolin Li, Yuhan Wu, J. Yang, Chengcheng Song, School of Instrumentation and Opto-Electronic Engineering, Beihang University; Jingyi Hu, Yang Liu, School of Instrumentation and Opto-Electronic Engineering, Beihang University, Marconi Lab, Science Technology and Innovation Section, Abdus Salam International Centre for Theoretical Physics
	Adaptive Multipath and NLOS Mitigation Methods based on GNSS Measurements by Integrating Scene Classification and Signal Classification Hui Luo, Di He, Shanghai Jiao Tong University
	Cross-Domain GNSS Spoofing Detection via Domain-Adversarial Neural Networks Jiayue Lei, Jun Xu, Nanzhu Liu, Chao Sun, Wenquan Feng, Department Electronic and Information Engineering, Beihang University
	GNSS Spoofing Detection and Parameter Based on STFT Fei Li, Chao Sun, Lu Bai, Lijiang Chen, Department Electronic and Information Engineering, Beihang University

Evening Hours in Exhibit Hall with Cash Bar • 5:30 p.m. - 7:00 p.m.

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