By picking up the RF signals that the controller transmits to communicate with the drone, we can locate the operator.  Signal Detection: The drone controller sends commands to the drone through a radio signal, usually on specific frequencies like 2.4 GHz or 5.8 GHz, which are commonly used for remote control communications.  

Signal Analysis: The system analyzes the characteristics of the signal, such as frequency, signal strength, modulation type, and other patterns that positively match those used by drone controllers. Location Estimation: The system triangulates the signal source by measuring the angle of arrival (AOA) or time difference of arrival (TDOA) at each receiver to determine the approximate location of the drone controller / operator.

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Our system does not use demodulation. We assess the physical characteristics of the RF signal (protocol layer) to determine the type of craft (i.e. drone) and other location attributes like latitude, longitude, altitude, elevation, speed, etc.

The range can vary depending on various environmental factors. However, average detection ranges are 5km in an urban setting and up to 25km in rural settings.

A single-sensor's accuracy can best be described as 2-degrees (RSS 1-sigma). In a typical urban scenario, average location accuracy of 50m 50% SEP (Spherical Error Probable) assuming a 5km tracking range is expected.

There is no known limit to the number of simultaneous UAS detections using a sensor network of at least 2 sensors. A single sensor can track approximately 12 targets without affecting processing speed or having to add processing resources.

Requirements vary slightly by sensor (Breaker, Surge, Crest). For the Breaker, each sensor requires 120VAC power, and draws approximately 3A. A site with 4 sensors would require 12A service - standard 15 Amp circuit would be sufficient although we prefer 20 Amp circuit for margin.