B1/2: Magnetic Navigation (MagNav)

Time:
Monday, June 2, 8:30 a.m. - 10:00 a.m.
Monday, June 2, 10:45 a.m. - 12:15 p.m.
Location: Ballroom D

This course will focus on practical considerations for implementation of magnetic anomaly navigation systems. The basic theory of how both an Extended Kalman Filter as well as a Particle Filter can use magnetic anomaly maps to navigate will be described. We will show where this theory can break down on real-world implementations. The two practical challenges that must be resolved are platform calibration as well as map errors. We will discuss the current state of the art for magnetic calibration. We will also discuss the real-world factors that influence map error and how to design navigation systems that are robust to these errors. Finally, we will go over a wide tradespace of magnetic anomaly simulations live in class to provide intuition on how magnetic anomaly navigation is influenced by altitude, map variation, velocity, calibration errors, and other factors.

Dr. Aaron Canciani is a senior research scientist with the Leidos Applied Science Division. He focuses on many aspects of GPS-denied navigation systems. His current research focuses are on using AI/ML to reduce drift of inertial systems, geophysical navigation, as well as SAR and Interferometric SAR navigation. Dr. Canciani has been a part of dozens of projects focused on magnetic anomaly navigation and previously led this exciting research area from within the government during a 12-year Air Force career.