Session F5: AI/Machine Learning (ML) for PNT Signal Processing

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Date: Tuesday, June 3, 2025
Time: 8:30 a.m. - 10:00 a.m.
Location: Ballroom E

Session Chairs:

Dr. Matthew Lashley Georgia Tech Research Institute	Dr. Clark Taylor Air Force Institute of Technology

8:35 a.m.	Signal Quality Monitoring (SQM) of GPS Using Chipshape and One-Shot Learning: Mark Carroll, Air Force Research Laboratory (AFRL); Sanjeev Gunawardena, Tim Machin, Air Force Institute of Technology (AFIT)
8:55 a.m.	Deep Learning-Based PNT Signal Classifier Technology: Christopher Zarowski, Ryan Young, Cedric Logan, and Nareshbabu Jarmale, Mayflower Communications Company Inc.; Nhut Vo, Caroline Waiyaki, Paul Olson, and John Del Colliano, U.S. Army DEVCOM C5ISR
9:15 a.m.	Machine Learning Based Jamming Detection Alarm: Alejandro Camacho, Kai Zhang, Justin Yakura, Rob Fries, Gilberto Sada, David Post, L3Harris Technologies
9:35 a.m.	Practical Analysis of the HiPPO/S4 Framework for Compression and Deep Learning on Time Series PNT Data: Joseph Dailey, Air Force Research Laboratory
Alternates
1.	Predicting GNSS Receiver Operation Through Interference: Mitchell Rudy, Sanjeev Gunawardena, and Timothy Machin, Air Force Institute of Technology
2.	Chipshape Data Collection and Characterization of GNSS Signals: Joseph Payne, Sanjeev Gunawardena, Air Force Institute of Technology; Mark Carroll, Air Force Research Laboratory

Break in Exhibit Hall (First Floor): 10:00 a.m. – 10:45 a.m., Sponsored by GPS Source

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