US-Tech, Georgia, July 2022
Entropy Engineers Test New Class of Military and Commercial Sensors for sUAS Threat Detection
Passive drone detection requires receiver sensitivity and detection optimization which is aided by drone emissions characterization. Drone emissions characterization includes measurements under different conditions and operating scenarios. Many measurements and experiments may be performed in an unshielded environment; however, certain measurements are most effectively and efficiently performed within a Gauss chamber or an RF anechoic chamber in which external man-made interference and atmospheric noise is greatly reduced.
Entropy’s Wireless Systems Subject Matter Expert Randy Rich and IT Systems and drone pilot Anthony Stuart performed experiments and measurement analytics within an RF anechoic chamber. In this case certain drone emissions were being studied and documented with the goal of using this data to optimize the Entropy drone detection sensors and system.