Deterrent for unmanned aerial systems
A system for providing integrated detection and deterrence against an unmanned vehicle including but not limited to aerial technology unmanned systems using a detection element, a tracking element, an identification element and an interdiction or deterrent element. Elements contain sensors that observe real time quantifiable data regarding the object of interest to create an assessment of risk or threat to a protected area of interest. This assessment may be based e.g., on data mining of internal and external data sources. The deterrent element selects from a variable menu of possible deterrent actions. Though designed for autonomous action, a Human in the Loop may override the automated system solutions.
1. In a system comprising at least one range sensor, at least one directional or omnidirectional sensor, and at least one processor operatively coupled to the at least one range sensor and the at least one directional or omnidirectional sensor, a method for interdicting an aerial target comprising:
receiving radio frequency signals from the target;
determining, with the at least one processor, a signature corresponding to the radio frequency signals;
determining, with the at least one processor, direction and range of the target based on the at least one range sensor and the at least one directional or omnidirectional sensor;
dispatching a system-operated counter unmanned aerial device vehicle to interdict the target while the target and the system-operated counter unmanned aerial device vehicle are both in the air; and
transmitting an RF control signal that guides the system-operated counter unmanned aerial vehicle to aerially navigate towards the target based on navigation data supplied by the system.
2. The method of claim 1 further including:
determining a distance coordinate based on an optical and/or infrared and/or laser range finder;
determining azimuth and elevation coordinates based on a radar; and
applying the distance coordinate and the azimuth and elevation coordinates to a fusion processor.
3. The method of claim 1 further including transmitting an interdiction signal.
4. The method of claim 3 including tailoring the interdiction signal based on the signature of the target.
5. The method of claim 3 including beaming the interdiction signal toward the target.
6. The method of claim 1 including protecting against the target to several thousand feet above ground level.
7. The method of claim 1 further including detecting, classifying, and tracking the target based on the signature.
8. The method of claim 1 further including computing target velocity with the at least one processor.
9. The method of claim 1 further including recognizing radio frequency identification information emitted by the target.
10. The method of claim 1 further including autonomously moving at least one of the sensors to track the target.
11. The method of claim 1 further comprising identifying the target by comparing images captured by a camera and radar against a profile database.
12. The method of claim 1 , further including generating a 3D coordinate of the target.
13. The method of claim 1 , further including detecting when the target enters a predetermined protected area.
14. The method of claim 1 , further including selectively manually overriding target interdiction.
15. A method for interdicting a target, comprising:
sensing the target with at least one radar sensor;
sensing the target with at least one optical, infrared or laser sensor;
determining XYZ coordinates of the target in response to the sensing performed by the at least one radar sensor and the sensing performed by the at least one optical, infrared or laser sensor;
dispatching a system-operated counter unmanned aerial vehicle device;
supplying autonomous navigation data with a ground-based system; and
guiding the dispatched system-operated counter unmanned aerial vehicle device with an RF control signal to aerially navigate to proximity of the target based on the supplied autonomous navigation data.
16. The method of claim 15 further including:
receiving radio frequency signals from the target;
determining, with at least one processor, a signature corresponding to the received-radio frequency signals; and
identifying the target and/or structuring an interdiction based at least in part on the signature.
17. The method of claim 15 further including performing the following operations with at least one processor:
calculating a threat assessment based on a weighted sum of threshold values derived from sensed target location, determined target classification, sensed target bearing, sensed target speed, determined target payload, sensed target size and sensed target flight profile; and
automatically selecting an interdiction based on the calculated threat assessment.
18. The method of claim 16 wherein the signature comprises a radar cross section or a radio frequency wave pattern.
19. The method of claim 1 wherein the signature comprises a radar cross section or a radio frequency wave pattern.