The Rutgers SDR team: Sean Johnson, John Callinan, and Harris Ransom, recently competed in the Air Force Research Laboratories software defined radio nation-wide challenge. The Rutgers team was the only team composed solely of undergraduate students. The team made a compelling showcase demonstrating the benefits of using machine learning over traditional algorithms for signal tracking. The team used techniques such as beam forming and time difference of arrival to provide metrics for a machine learning algorithm trained to identify a signal's position. The ML assisted techniques used managed to show a significant increase in performance from traditional methods. Due to their excellent work the team was invited to Dayton, Ohio as one of the eight finalists of the competition.
