IP Library Granted Patent US 10,156,631
Granted Patent B2
US 10,156,631 · App. 15/627,229 · Granted Dec 18, 2018

Deterrent for unmanned aerial systems

Inventors: Dwaine A. Parker (Naples, FL); Damon E. Stern (Riverview, FL); Lawrence S. Pierce (Huntsville, AL)
Assignee: XiDrone Systems, Inc.
G01S7/38F41H11/02F41H13/0075G01S3/782G01S7/414G01S13/42G01S13/66G01S13/86G01S13/88G01S7/021G01S13/883G01S13/91G01S13/9303
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,156,631
App. No.
15/627,229
Filed
Jun 19, 2017
Granted
Dec 18, 2018
Kind
B2
Art Unit
3648
USPC
342/14
Abstract

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.

Claims (45)

1. A non-transitory storage device operatively coupled to at least one processor of a multi-sensor detection system, the non-transitory storage device configured to store unmanned aerial vehicle target information comprising:

radar data comprising three-dimensional X, Y and Z location coordinates indicating tracked target positions of an unmanned aerial vehicle;

radio frequency receiver data indicating a target radio frequency spectral signature of the unmanned aerial vehicle;

radio frequency directional antenna alignment data indicating azimuth and elevation vector coordinates of relative target positions of the unmanned aerial vehicle;

Laser Range Finder data indicating target range and bearing of the unmanned aerial vehicle; and

optical image data indicating target shape/profile of the unmanned aerial vehicle;

the radar data, the radio frequency receiver data, the radio frequency directional antenna alignment data, the Laser Range Finder tracking data and the optical image data being configured to enable the processor to compute a threat assessment value for the unmanned aerial vehicle based on combining at least three or more of the target location coordinates, target classification, the bearing, target speed, identified payload, target shape/profile, and tracked target flight profile.

2. The non-transitory storage device of claim 1 wherein the non-transitory storage device further includes additional data produced remotely from one or more sensors including radar, radio frequency receiver, radio frequency, omnidirectional or directional antenna, Laser Range Finder tracking and optical imaging, and the stored data is configured to enable the processor to compute the threat assessment value also based on said additional, remotely-produced data.

3. A multi-sensor system for providing integrated detection, tracking, identification and classification against commercial unmanned aerial vehicles comprising:

sensors including:

an omnidirectional antenna,

a directional antenna,

a radar system,

a camera system and

a Laser Range Finder,

the sensors for collecting, independently or in conjunction, sensor data of a flying unmanned aerial vehicle;

a sensor fusion processor connected to the sensors, the sensor fusion processor configured to analyze the sensor data of the unmanned aerial vehicle in flight:

a CPU used for processing the sensor data of the unmanned aerial vehicle in flight: and

a database library for storing known system generated multi-sensor data and state data generated by remote sources of the unmanned aerial vehicle in flight.

4. The multi-sensor system of claim 3 wherein the camera detects infrared images.

5. The multi-sensor system of claim 3 wherein the sensor fusion processor detects and classifies the flying unmanned aerial vehicle in response to the sensor data and determines a level of threat assessment.

6. The multi-sensor system of claim 5 wherein the sensor fusion processor includes a direction detect and range estimator that estimates direction and range of the flying unmanned aerial vehicle based upon inputs received from the radar system and the Laser Range Finder.

7. The multi-sensor system of claim 6 further including an automatic antenna alignment assembly that controls the direction of the directional antenna, wherein the direction detect and range estimator uses received sensor signals to identify potential targets, and controls the automatic antenna alignment assembly to move and/or reconfigure the directional antenna.

8. The multi-sensor system of claim 7 wherein the directional antenna is configured to beam transmission signals at the unmanned aerial vehicle in flight.

9. The multi-sensor system of claim 7 wherein the sensor fusion processor direction detect and range estimator operates in cooperation with azimuth and elevation vector coordinate data.

10. The multi-sensor system of claim 3 wherein the sensor fusion processor receives imagery from the camera system and the Laser Range Finder.

11. The multi-sensor system of claim 3 wherein the sensor fusion processor comprises a control system processor which integrates discrete data from the sensors.

12. The multi-sensor system of claim 3 wherein the sensor fusion processor provides sensor data fusion to yield a target ID/classification with or without a human in the loop.

13. The multi-sensor system of claim 3 wherein the system includes a comparator that compares captured imagery against known and continuously improving profile databases in the database library maintained or accessed by sensor fusion processor, and uses pixel and histogram comparison algorithms to confirm or deny that a target is an unmanned aerial vehicle in flight, and in response generates a threat assessment.

14. The multi-sensor system of claim 3 wherein the sensor fusion processor enables a slew to cue of the Laser Range Finder.

15. The multi-sensor system of claim 3 wherein the sensor fusion processor performed a set of algorithms and processes to provide a visual display of continuous unmanned aerial vehicle location and camera imagery.

16. The multi-sensor system of claim 15 wherein the visual display is overlaid on a moving map display and includes interdict command logic.

17. The multi-sensor system of claim 3 wherein the CPU operates in conjunction with modulation type and data selection and frequency and waveform parameter selection.

18. A multi-sensor system comprising:

a secure control internal/external network using existing infrastructure or dedicated high bandwidth point-to-point communications hardware that allows collocated and non-collocated systems to exchange sensor data of an unmanned aerial vehicle in flight;

a sensor fusion processor to determine a flight profile of an unmanned aerial system in flight using radar, imagery and laser range finder sensor data; and

an omnidirectional and directional antenna system for sending and receiving RF communication to an unmanned aerial system in flight.

19. A non-transitory computer readable storage medium including processor-executable code for storing instructions, operatively coupled to at least one processor of a multi-sensor detection system, the non-transitory computer readable storage medium including processor-executable code for storing instructions operable to detect unmanned aerial vehicle target information comprising:

radar data comprising three-dimensional X, Y and Z location coordinates indicating tracked target positions of an unmanned aerial vehicle;

radio frequency receiver data indicating a target radio frequency spectral signature of the unmanned aerial vehicle;

radio frequency directional antenna alignment data indicating azimuth and elevation vector coordinates of relative target positions of the unmanned aerial vehicle; and

Laser Range Finder data indicating target range and bearing of the unmanned aerial vehicle;

optical image data indicating target shape/profile of the unmanned aerial vehicle;

the radar data, the radio frequency receiver data, the radio frequency directional antenna alignment data, the Laser Range Finder tracking data and the optical image data enabling the processor to compute a threat assessment value for the unmanned aerial vehicle based on at least three or more of the target location coordinates, target classification, the bearing, target speed, identified payload, target shape/profile, and tracked target flight profile.

20. The non-transitory computer readable storage medium including processor-executable code for storing instructions, of claim 1 wherein the non-transitory storage computer readable storage medium including processor-executable code for storing instructions operable to detect additional data produced remotely from one or more sensors including radar, radio frequency receiver, radio frequency, omnidirectional or directional antenna, Laser Range Finder tracking and optical imaging, and the processor computes the threat assessment value also based on said additional, remotely-produced data.

Continuity (4)
Continuation 15368269 · Dec 2, 2016
Continuation In Part 14821907 · Aug 10, 2015
Provisional Application 62094154 · Dec 19, 2014
Related Publication 20170285142A1 · Oct 5, 2017
Cited By (9)
US 12,272,252 US 12,298,378 US 12,333,947 US 12,417,633 US 12,425,123 US 12,494,064 US 12,504,531 US 12,513,264 US 12,651,533