Passive vs. Active Drone Detection: What’s the Difference?
Passive drone detection listens for radio frequency emissions from a drone without transmitting any signal itself, making it covert and difficult to detect or jam. Active detection, such as radar, emits a signal and analyzes the return, which provides reliable detection of non-emitting drones but reveals the defending system's location and operating frequency. Most layered counter-UAS deployments use both methods together.
The Role of AI in RF Signal Classification for Counter-Drone Detection
AI-based RF signal classification analyzes the characteristics of a detected radio frequency signal, such as modulation pattern and frequency behavior, and compares them against a trained reference dataset to determine whether the signal originates from a drone and, in many cases, identify its make and model. This allows systems to distinguish drone signals from the Wi-Fi, cellular, and other RF activity present in most real-world environments.