Radio Frequency Source Localization

Silvus Technologies Engineering, 2022–23

Liaison(s): Eric Contee II ’19, Dr. Matthew Hayes, Ivan Aguilar
Advisor(s): Josh Brake
Students(s): Liam Chalk (TL-S), Arya Goutam, Joe Zales (TL-F), Alec Candidato, James Clinton, Zeneve Jacotin, Alexa Wright

The Silvus Technologies Clinic project aims to pinpoint the location of a radio frequency signal. The final deliverable is a Python neural network that uses data collected from Silvus radios to locate the source in environments with varied terrain. The neural network is designed using simulated data and validated using real experimental data.