Session E4: GNSS Navigation in Challenging Environments

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Date: Thursday, September 14, 2023
Time: 1:45 p.m. - 5:30 p.m.
Location: Mineral Hall D/E (Third Floor)
In-Person presenters in this session provide pre-recorded presentations for viewing by registered attendees on Wednesday, September 13.

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 virtual attendees.
1:50	Extending 3DMA GNSS with Diffraction Features in Urban Areas: Feasibility Analysis and Preliminary Results Guohao Zhang, Di Hai, Hoi-Fung Ng, and Li-Ta Hsu, Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University Peer Reviewed
2:12	3D Mapping Aided GNSS Positioning Using Doppler Frequency for Urban Areas Liyuan Zhang, Hoi-Fung Ng, Guohao Zhang, and Li-Ta Hsu, Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University Peer Reviewed
2:35	Experimental Investigation of GNSS Direct Position Estimation in Densely Urban Area Sergio Vicenzo, Bing Xu, Li-Ta Hsu, Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University; Abhijit Dey, Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science Peer Reviewed
2:58	GNSS Multi-Frequency Combined Direct Position Estimation in the Urban Canyon Environment Jihong Huang, Rong Yang, Xingqun Zhan, School of Aeronautics and Astronautics, Shanghai Jiao Tong University Best Presentation
3:25 - 3:55, Break. Refreshments in Exhibit Hall
4:00	Effect of Signal Quantization on Robust Anti-jamming in Snapshot Receivers Helena Calatrava, Electrical and Computer Engineering Dept., Northeastern University; Adrià Gusi-Amigó, Albora Technologies; Floor Melman, European Space Agency (ESA/ESTEC); Pau Closas, Electrical and Computer Engineering Dept., Northeastern University Peer Reviewed
4:23	Normalized Bandwidth Control Algorithm for Robust GNSS Adaptive Tracking Inigo Cortés, Fabio Garzia, Natalia Conde, Fraunhofer IIS; Elena Simona Lohan, Jari Nurmi, Tampere University; and Wolfgang Felber, Fraunhofer IIS
4:46	Improving Tracking Robustness Through Interference Using Pilot Signals with a Deeply Coupled Estimator Logan Bednarz, Samer Khanafseh, Boris Pervan, Illinois Institute of Technology
5:08	Time-Differenced Carrier Phase Based Integrity Monitoring for Urban Air Mobility Using 3D City Model Hojoon Jeong, Changdon Kee, Department of Aerospace Engineering and SNU-IAMD, Seoul National University; Junesol Song, Department of Mechanical Engineering, University of Suwon; Jungbeom Kim, Samsung Electronics System LSI
Alternate Presentations Alternate presentations may be given in-person at the conference if other authors are unable to present. Alternate Presenters will provide a pre-recorded presentation for on-demand viewing by virtual attendees.
1.	Hopular-Based GNSS Signal Reception Classification Method for LOS/NLOS Detection in Urban Environments Zelin Zhou, Dennis Stefanakis, Baoyu Liu, Hongzhou Yang, Department of Geomatics Engineering, University of Calgary Peer Reviewed
2.	Robust Wavelet Variance-Based Stochastic Analysis of Instantaneous Code Phase-Based Oscillator Instability Chrysostomos Minaretzis, Yiran Luo, University of Calgary; Stéphane Guerrier, University of Geneva; Naser El-Sheimy, Michael Sideris, University of Calgary
4.	Data Interpolation Method for 3D City Modeling to aid Satellite Navigation Erne Mc Cabe, Kirsten Strandjord, Clare Graney-Dolan, University of Minnesota

Virtual Presentations Pre-recorded presentations will become available for viewing by registered attendees on Wednesday, September 13.
	A Solution Separation Algorithm for Velocity Estimation in Rail and Road Applications Michele Brizzi, Roma Tre University; Alessandro Neri, Roma Tre University & RADIOLABS; Francesco Rispoli, RADIOLABS Peer Reviewed
	Features Effectiveness Verification Using Machine-Learning-Based GNSS NLOS Signal Detection in Urban Canyon Environment Naishu Yin, Di He, Yan Xiang, Shanghai Key Laboratory of Navigation and Location-based Services, Shanghai Jiao Tong University; Fusheng Zhu, Guangdong Communications & Networks Institute; Wenxian Yu, Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University; Zhuoling Xiao, University of Electronic Science and Technology of China Peer Reviewed
	GNSS Positioning Using Cost Function Regulated Multilateration and Graph Neural Networks Amir Jalalirad, Davide Belli, Bence Major, Qualcomm AI Research; Songwon Jee, Himanshu Shah, Will Morrison, Qualcomm Technologies, Inc. Peer Reviewed

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