Session B6a: Receiver Design, Signal Processing, and Antenna Technology 2

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Date: Thursday, April 27, 2023
Time: 1:45 p.m. - 4:50 p.m.

Session Chairs:
Dr. Thomas Pany
University of Bundeswehr Munich
Dr. Gianluca Caparra
European Space Agency

Built-In Tri-Band Inter-Frequency Group Delay Calibration: Matthew Strong, Jackson Miller, and Nathan Green, LeTourneau University
Efficient GNSS Code Phase Discriminator: Rabih Chrabieh, Nathan Arbeid, Nestwave SAS
Hilbert-Transform Multi-Carrier Broadband Waveforms Ground Receiver Terminal for Future GNSS Application: Aline Rohloff, Angelica Arredondo, Tien M. Nguyen, Charles H. Lee, Sam Behseta, California State University Fullerton; Xiwen Kang, Dan Shen, Genshe Chen, John Nguyen, Intelligent Fusion Technology; Khanh D. Pham, Air Force Research Laboratory, Space Vehicles Directorate
Identification of Authentic GNSS Signals in Time-Differenced Carrier Phase Measurements with a Multi-Constellation Software Defined Radio Receiver: Zhen Zhu, East Carolina University and Sanjeev Gunawardena, AFIT
Improving Prediction of GNSS Satellite Visibility in Urban Environments Based on Deep Attention Neural Networks: Zhenni Li, Guangdong University of Technology; Kungan Zeng, Sun Yat-sen University; Shengli Xie, and Rong Yuan, Guangdong University of Technology
Innovative Machine Learning Approach for GNSS Signal Quality Monitoring and Grown Robustness to RF Threats Distortions: A. Emmanuele, R. Colombo, D. Montani, A. Turano, L. Siniscalco, Thales Alenia Space Italia
Machine Learning Assisted Multipath Signal Parameter Estimation and its Evaluation Under Weak Signal Environment: Xin Qi and Bing Xu, Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University
Multi-Layer Protection by Time/Frequency and Spatial Technologies Against RF Threats for Robust and Accurate GNSS Positioning: N. Pastori, A. Emmanuele, L. Danelli, M. Puccitelli, L. Marradi, Thales Alenia Space Italia
Predicting GPS Fidelity in Heavily Forested Areas: Andrew Moore, Nicholas Rymer, J. Sloan Glover, NASA Langley Research Center
Super-Resolution GPS Receiver: User’s Acceleration Computation: Yiran Luo, and Naser El-Sheimy, Department of Geomatics Engineering, University of Calgary

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