3D Drone Localization using Passive Receivers

The pipeline to go from downlink from drone to geolocaiton of drone involves capturing time aligned samples, detecting a downlink burst, identifying subsample time delay between signals using a cross ambiguity function, feeding the time delays between 3 pairs of collectors into a Gauss-Newton solver, then plotting the solves. The components that I was responsible for on this project included the geolocation engine, the CAF and algorithmic speedups, and the visualization effort. It was increadibly rewarding to familiarize myself with the mathmatics behind geolocation math and apply it to a very real world problem.