Session D6: AI/Machine Learning (ML) for PNT Situational Awareness

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Date: Wednesday, June 14, 2023
Time: 10:45 a.m. - 12:15 p.m.

Session Chairs:

Dr. Chen Lai DEVCOM C5IS	Brian Zufelt COSMIAC/The University of New Mexico

10:50 a.m.	GPS Situational Awareness Using Unsupervised Machine Learning Techniques: Stanley Radzevicius, Brian Sexton, Wilbur Myrick, ENSCO, Inc.
11:10 a.m.	GNSS Threat Detection Using Machine Learning in a Tightly Coupled Software Defined Radio (SDR) and Inertial/clock Assured PNT Solution: Alison Brown, Jeremy Passehl, Dien Nguyen, Jarrett Redd, Tom Silva, Sergio Huerta, Adrin Linan, NAVSYS Corporation
11:30 a.m.	Application of Machine learning for Rapid Jammer Classification: Nathan Whitehair, Sonya S Ragothaman and Phil Dafesh, The Aerospace Corporation
11:50 a.m.	Machine Learning for GPS Integrity using Chipshape Observations: Mark Carroll, Air Force Research Laboratory (AFRL); Sanjeev Gunawardena, Air Force Institute of Technology (AFIT)
Alternates
1.	AI/ML GPS Jamming Detection & Classification: Deepika (Dee) Chona, DEVCOM C5ISR Center, and Laura Peters, T2S Solutions
2.	Deep Learning for GNSS Jammer Classification*: Cedric Logan and Christopher Zarowski, Mayflower Communications Company, Inc.

Attendee Lunch: 12:15 p.m. – 1:15 p.m. - Exhibit Hall

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