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.
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
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
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
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
3:25 - 3:55, Break. Refreshments in Exhibit Hall
4:00	Jamming Robust Interference Mitigation in GNSS Snapshot Receivers : Helena Calatrava, Electrical and Computer Engineering Dept., Northeastern University; Adrià Gusi-Amigó, Albora Technologies, London, UK; Floor Melman, European Space Agency (ESA/ESTEC), Noordwijk, Netherlands; Pau Closas, Electrical and Computer Engineering Dept., Northeastern University
4:23	3D LiDAR-Aided GNSS NLOS Correction by Reflecting Path Restoration Using Reflection Map : Xikun Liu, Weisong Wen, Li-Ta Hsu, Department of Aeronautical and Aviation Engineering, the Hong Kong Polytechnic University
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.	Normalized Bandwidth Control Algorithm for Robust GNSS Adaptive Tracking : Inigo Cortés, Natalia Conde, Fabio Garzia, Fraunhofer IIS; Elena Simona Lohan, Jari Nurmi, Tampere University; and Wolfgang Felber, Fraunhofer IIS
2.	Hopular-Based GNSS Signal Reception Classification Algorithm with Optimal Feature Selection and Environmental Pattern Recognition : Zelin Zhou, Hongzhou Yang, Department of Geomatics Engineering, University of Calgary
3.	Towards Accurate GNSS Receiver Clock Calibration: 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.	Evaluating GNSS Ray Tracing Performance in Urban Canyons : Peng Xie, OpenLoopNav Inc.
5.	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
	Features Effectiveness Verification Using Machine-Learning-Based GNSS NLOS Signal Detection in Urban Canyon Environment : Naishu Yin, Di He1 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
	GNSS Positioning using Cost Function Regulated Triangulation and Graph Neural Networks : Amir Jalalirad, Davide Belli, Bence Major, Qualcomm AI Research; Songwon Jee, Himanshu Shah, Will Morrison, Qualcomm Technologies, Inc.

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