D2.3
Reinforcement Learning Controlled Mechanically Reconfigurable Antennas
Lauren Linkous, Erwin Karincic, Michael Suche, Erdem Topsakal, Virginia Commonwealth University, United States
Session:
D2: Antennas and Sensing Lecture
Track:
Commission D: Electronics and Photonics
Location:
Room 150
Presentation Time:
Wed, 8 Jan, 16:10 - 16:30 MT (UTC -7)
Session Co-Chairs:
Jon Chisum, University of Notre Dame and Leonardo Ranzani, RTX
Presentation
Discussion
Resources
No resources available.
Session D2
D2.1: Optimization Metrics for Minimizing Error in Array Transmission Pattern
David Cox, Adam Goad, Austin Egbert, Charles Baylis, Robert Marks, Baylor University, United States
D2.2: Software-defined Radio (SDR) Configuration Pitfalls and Reference Signal Coherence Experiments
James Conroy, JHUAPL, United States; Natalie Venginickal, University of Maryland, United States; Courtney Pasternack, Embry-Riddle Aeronautical University, United States; Matteo Cerasoli, Sarah Willenbrink, Minhtri Ho, Sean Ellison, Robert Schmid, JHUAPL, United States
D2.3: Reinforcement Learning Controlled Mechanically Reconfigurable Antennas
Lauren Linkous, Erwin Karincic, Michael Suche, Erdem Topsakal, Virginia Commonwealth University, United States
D2.4: A Prototype Millimeter-Wave Reflectionless Diplexer based on Silicon Micromachining
Robert Weikle, Noah Sauber, University of Virginia, United States; Matthew Bauwens, Dominion Microprobes, Inc., United States; Michael Cyberey, Scott Barker, Arthur Lichtenberger, University of Virginia, United States
D2.5: NRL SPADE-2 plasma diagnostic electronics
George Gatling, Bill Amatucci, Erik Tejero, US Naval Research Laboratory, United States
Contacts