IP Library Granted Patent US 12,266,272
Granted Patent B1
US 12,266,272 · App. 18/428,606 · Granted Apr 1, 2025

Unmanned vehicle recognition and threat management

Inventor: David William Kleinbeck (Lees Summit, MO)
Assignee: Digital Global Systems, Inc.
G08G5/22G01S3/043G01S3/046G01S3/46G06N3/08G06N7/01G08G5/55G08G5/57
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Quick Facts
Patent No.
US 12,266,272
App. No.
18/428,606
Granted
Apr 1, 2025
Kind
B1
Abstract

Systems and methods for automated unmanned aerial vehicle recognition. A multiplicity of receivers captures RF data and transmits the RF data to at least one node device. The at least one node device comprises a signal processing engine, a detection engine, a classification engine, and a direction finding engine. The at least one node device is configured with an artificial intelligence algorithm. The detection engine and classification engine are trained to detect and classify signals from unmanned vehicles and their controllers based on processed data from the signal processing engine. The direction finding engine is operable to provide lines of bearing for detected unmanned vehicles.

Claims (41)

1. A system for signal classification in a radiofrequency (RF) environment, comprising:

at least one node device in communication with at least one RF receiver;

wherein the at least one RF receiver is operable to capture RF data in the RF environment and transmit the RF data to the at least one node device;

wherein the at least one node device is operable to average Fast Fourier Transform (FFT) data derived from the RF data into at least one tile;

wherein the at least one tile is represented as at least one waterfall image;

wherein the at least one node device includes a classification engine;

wherein the classification engine is operable to classify at least one signal emitting device by comparing at least one signal emitted from the at least one signal emitting device to classification data stored in a classification library in real time;

wherein the at least one node device is operable to create at least one analyzed waterfall image based on identification of the at least one signal; and

wherein the at least one analyzed waterfall image includes a visual indication of the at least one signal.

2. The system of claim 1 , further comprising a display operable to display results from the classification engine.

3. The system of claim 1 , wherein the at least one node device is operable to estimate a geographical location for the at least one signal emitting device.

4. The system of claim 1 , wherein the RF data is from a spectrum between 20 MHz and 6 GHz.

5. The system of claim 1 , further comprising a detection engine operable to detect the at least one signal emitting device by radio communication protocols.

6. The system of claim 1 , wherein the at least one node device is operable to update the classification library with emerging protocols.

7. The system of claim 1 , further comprising a global positioning system (GPS) unit.

8. The system of claim 1 , wherein the at least one node device is operable to transmit an alert related to the at least one signal emitting device.

9. The system of claim 1 , wherein the at least one RF receiver is operable to transform the RF data to the FFT data.

10. An apparatus for signal classification in a radiofrequency (RF) environment, comprising:

at least one node device comprising a classification engine;

wherein the at least one node device is operable to receive RF data from at least one RF receiver;

wherein the at least one node device is operable to average Fast Fourier Transform (FFT) data derived from the RF data into at least one tile;

wherein the at least one tile is represented as at least one waterfall image;

wherein the at least one node device includes a classification engine;

wherein the classification engine is operable to classify at least one signal emitting device by comparing at least one signal emitted from the at least one signal emitting device to classification data stored in a classification library in real time;

wherein the at least one node device is operable to create at least one analyzed waterfall image based on identification of the at least one signal; and

wherein the at least one analyzed waterfall image includes a visual indication of the at least one signal.

11. The apparatus of claim 10 , wherein the at least one node device is operable to send results from the classification engine to a display, wherein the display is operable to display the results from the classification engine.

12. The apparatus of claim 10 , wherein the at least one node device is operable to estimate a geographical location for the at least one signal emitting device.

13. The apparatus of claim 10 , wherein the RF data is from a spectrum between 20 MHz and 6 GHz.

14. The apparatus of claim 10 , wherein the detection engine is operable to detect the at least one signal emitting device using radio communication protocols.

15. The apparatus of claim 10 , wherein the at least one node device is operable to update the classification library with emerging protocols.

16. The apparatus of claim 10 , further comprising a global positioning system (GPS) unit.

17. The apparatus of claim 10 , wherein the at least one node device is operable to transmit an alert related to the at least one signal emitting device.

18. The apparatus of claim 10 , wherein the at least one node device is operable to receive the FFT data from the at least one RF receiver.

19. A method for signal classification in an RF environment, comprising:

at least one RF receiver capturing RF data in the RF environment, deriving Fast Fourier Transform (FFT) data from the RF data, and transmitting the FFT data to at least one node device;

the at least one node device averaging the FFT data derived from the RF data into at least one tile represented as at least one waterfall image;

a classification engine of the at least one node device classifying at least one signal emitting device by comparing at least one signal emitted from the at least one signal emitting device to classification data stored in a classification library in real time; and

the at least one node device creating at least one analyzed waterfall image based on identification of the at least one signal;

wherein the at least one analyzed waterfall image includes a visual indication of the at least one signal.

20. The method of claim 19 , further comprising the at least one node device estimating a geographical location for the at least one signal emitting device.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 20, 2024
From: KLEINBECK, DAVID WILLIAM
To: DIGITAL GLOBAL SYSTEMS, INC.
Reel/Frame 066497/0672 →
Continuity (12)
Continuation 18374376 · Sep 28, 2023
Continuation 18142904 · May 3, 2023
Continuation 17991348 · Nov 21, 2022
Continuation 17735615 · May 3, 2022
Continuation 17190048 · Mar 2, 2021
Continuation 16732811 · Jan 2, 2020
Continuation 16275575 · Feb 14, 2019
Continuation In Part 16274933 · Feb 13, 2019
Continuation In Part 16180690 · Nov 5, 2018
Continuation In Part 15412982 · Jan 23, 2017
Provisional Application 62722420 · Aug 24, 2018
Provisional Application 62632276 · Feb 19, 2018
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