ION GNSS+ Session Detail

Session F2: Atmospheric Effects on GNSS

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Date: Wednesday, September 18, 2024
Time: 1:45 p.m. - 5:30 p.m.
Location: Holiday Ballroom 3
In-Person presenters in this session provide pre-recorded presentations for viewing by registered attendees on Wednesday, September 18.

Session Chairs

Dr. Vincenzo Romano
Istituto Nazionale di Geofisica e Vulcanologia


Hyeyeon (Ann) Chang
University of Colorado Boulder

 
Track Chair

Dr. Attila Komjathy
Jet Propulsion Laboratory

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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 A Controlled Experiment of Ionospheric Effects on VHF Signals Transmitted from A NOAA Weather Satellite
   
Y. Jade Morton, Harrison Bourne, Steve Taylor, University of Colorado Boulder; Chun Yang, QuNav; Madeleine Naudeau, Air Force Research Laboratory Peer Reviewed
2:12 GNSS Anomaly Detection and Direction of Arrival Estimates of Acoustic-Gravity Waves in the Ionosphere
Fiona Luhrmann and Jihye Park, Oregon State University
2:35 Ionospheric TEC Estimations Using Single-Frequency Wideband Low Elevation GNSS Signals
   
Madeline C. Evans, Brian Breitsch, and Jade Morton, University of Colorado Boulder Peer Reviewed
2:58 Convolutional Neural Networks for Time Series Classification of Ionospheric Scintillation
   
Rubem Vasconcelos Pacelli, Federal University of Ceará (UFC); Angela Aragon-Angel, Adrià Rovira García, Universitat Politècnica de Catalunya; André Lima Ferrer de Almeida, UFC; and Felix Antreich, Aeronautics Institute of Technology Peer Reviewed
3:25 - 3:55, Break. Refreshments in Exhibit Hall
4:00 Back Propagation Method for the Determination of the Vertical Location of Ionospheric Irregularities
   
Carles Quilis Alfonso, Blekinge Institute of Technology; Vinícius Ludwig-Barbosa, Danish Meteorological Institute; Joel Rasch, Anders Carlström, Beyond Gravity Sweden AB; Mats I. Pettersson, Viet Thuy Vu, Blekinge Institute of Technology Peer Reviewed Best Presentation
4:23 Exploiting the Galileo High Accuracy Service Under Equatorial Ionospheric Scintillation
 
Haroldo Marques, São Paulo State University (UNESP); Melania Susi, Topcon Positioning System Inc.; Daniele Borio, European Commission, Joint Research Centre; Joao Francisco Galera Monico, São Paulo State University (UNESP); Jihye Park, Oregon State University; Kinga Wezka, Warsaw University of Technology
4:46 Maintaining High RTK Availability and Accuracy Throughout the Maximum of Solar Cycle 25
   
Frank Kleijer, Frank Boon, Masoud Arash, Cyrano Vaseur, Stefan Söderholm, Septentrio
5:08 Evaluating Amplitude Scintillation Severity in the Early Night Hours Using Fading Coefficients
   
Victor Di Santis, Instituto Tecnológico de Aeronáutica, São José dos Campos – SP; João Galera Monico, Universidade Estadual Paulista Júlio de Mesquita Filho; Alison Moraes, Renan Ruan Sarmento, Instituto de Aeronáutica e Espaço, São José dos Campos – SP; Jonas Sousasantos, William B. Hanson Center for Space Sciences, The University of Texas, Dallas Peer Reviewed
On-Demand Presentations
Pre-recorded presentations will become available for viewing by registered attendees on Wednesday, September 18.
  Analysis of GNSS Receiver Tracking During High-Latitude Ionospheric Scintillation
 
Andrew Ludwig and Xiaoqing Pi, Jet Propulsion Laboratory, California Institute of Technology
  Ionospheric Modeling by Using Self-Organizing Map (SOM) Under the Disturbed Condition
   
Kazue Murai, The University of Tokyo; Yuki Sato, Seigo Fujita, Yuichiro Tsukamoto, Rui Hirokawa, Mitsubishi Electric Corporation; Shinichi Nakasuka, The University of Tokyo Peer Reviewed
  Model the Ionospheric Gradients Between Satellites in Network RTK
   
Tong Liu, Xiaolong Mi, Yang Yang, Duojie Weng, Wu Chen, The Hong Kong Polytechnic University Peer Reviewed
  Research on GNSS-R Snow Depth Inversion Based on Deep Learning Method
   
Sijia Li, Hang Guo, Hangfei Zhu, School of Information Engineering, Nanchang University; Min Yu, College of Computer Software, Jiangxi Normal University; Jian Xiong, School of Advanced Manufacturing, Nanchang University Peer Reviewed
  Research on Prediction of Heavy Rainfall Based on BDS-2/3
   
Longfei Lv, Hang Guo, School of Information Engineering, Nanchang University; Min Yu, College of Computer Software, Jiangxi Normal University; Jian Xiong, School of Advanced Manufacturing, Nanchang University; Qun Tian, Guangzhou Institute of Tropical and Marine Meteorology; Ting Ni, School of Information Engineering, Nanchang University; Sai Du, Meteorological Bureau of Chenghai; Wenjing Kong, School of Information Engineering, Nanchang University Peer Reviewed

Free Time in Exhibit Hall • 5:30 p.m. - 7:00 p.m.

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