Experimental Systems2026
Sky-Shield PEWS
An experimental passive early warning system exploring detection of aircraft and drones using RF signal disturbances and audio classification.
About this project
Sky-Shield PEWS (Passive Early Warning System) is an experimental project exploring how objects like drones or aircraft can be detected without actively transmitting signals.
Instead of using traditional radar, the idea was to rely on signals already present in the environment, such as radio and cellular transmissions. When an object moves through these signals, it creates subtle disturbances that can potentially be observed and analyzed.
To complement this, the system also considers audio input, using microphones to help classify whether detected activity is likely a drone, aircraft, or background noise.
This project focused on understanding:
- how signal disturbances behave in real environments
- how noisy real-world data can be
- how multiple weak inputs can be combined for better detection
The biggest challenge was dealing with unpredictable noise and distinguishing meaningful patterns from random interference.
While not a production system, this project helped me explore system-level thinking beyond typical web development, combining signal observation, classification logic, and environmental analysis.

