Systems, methods, apparatuses, and devices for identifying, tracking, and managing unmanned aerial vehicles

• US 10,317,506 B2
• Filed: 11/08/2016
• Issued: 06/11/2019
• Est. Priority Date: 11/08/2016
• Status: Active Grant

• Current Assignee: Dedrone Holdings, Inc.
• Original Assignee: Dedrone Holdings, Inc.
• Inventors: Seeber, Rene, Seebach, Ingo, Meyer, Henning, Schoeler, Markus, Baumgart, Kai, Scheibe, Christian, Prantl, David
• Primary Examiner(s): Cumming, William D
• Application Number:
  US15/346,287
• Publication Number:
  US 20180128895A1
• Time in Patent Office: 945 Days
• Field of Search: 345419
• CPC Class Codes: G01S 5/0294 Trajectory determination or predictive filtering, e.g. target tracking or Kalman filtering
• CPC Class Codes: G08G 5/0026 located on the ground
• CPC Class Codes: G08G 5/0069 specially adapted for an unmanned aircraft
• CPC Class Codes: G08G 5/0082 for monitoring traffic from a ground station radar or analogous systems specially adapted for traffic control G01S13/91

Abstract

Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Claims

1. A method for identifying unmanned aerial vehicles (UAVs) in a particular air space via the use of one or more radio frequency (RF) sensors, comprising the steps of:

receiving RF signal data captured from the particular air space, wherein the RF signal data is captured by a particular RF sensor proximate to the particular air space;

filtering the RF signal data to remove one or more unwanted frequencies;

decoding the filtered RF signal data to generate a pattern of one or more frequencies and one or more amplitudes representing the RF signal data;

comparing the pattern of the one or more frequencies and the one or more amplitudes representing the RF signal data to known patterns of frequencies and amplitudes known to be associated with UAVs; and

upon determination that the pattern of the one or more frequencies and the one or more amplitudes representing the RF signal data substantially matches at least one of the known patterns, denoting the received RF signal data as corresponding to a UAV in the particular air space.

2. The method of claim 1, further comprising the step of prior to receiving the RF signal data, tuning the particular RF sensor to receive signals from a predetermined frequency range.

3. The method of claim 2, wherein the predetermined frequency range comprises between about 1 MHz to about 6 GHz.

4. The method of claim 1, further comprising the step of prior to filtering the RF signal data, determining whether signal energy associated with the RF signal data exceeds a predetermined energy threshold indicative of UAVs.

5. The method of claim 4, wherein the predetermined energy threshold comprises a value of at least about −

86 dBFS.

6. The method of claim 1, wherein the one or more unwanted frequencies comprise signal noise or sampling artifacts.

7. The method of claim 1, wherein the step of denoting the received RF signal data as corresponding to a UAV in the particular air space comprises assigning a confidence level to the received RF signal data as emanating from a UAV, wherein the confidence level comprises a statistical confidence measure that the RF signal data emanated from a UAV.

8. The method of claim 1, further comprising the step of storing the received RF signal data in a database.

9. The method of claim 8, further comprising the step of associating the received RF signal data in the database with an indication that the RF signal data emanated from a UAV.

10. The method of claim 1, further comprising the step of initiating an alert to a system user that a UAV has been detected in the particular air space.

11. A system for identifying unmanned aerial vehicles (UAVs) in a particular air space via the use of one or more radio frequency (RF) sensors, comprising:

a RF sensor proximate to a particular air space, wherein the RF sensor is configured to collect and transmit RF signal data from the particular air space; and

a processor operatively coupled to the RF sensor, the processor operative to;

filter the RF signal data to remove one or more unwanted frequencies;

decode the filtered RF signal data to generate a pattern of one or more frequencies and one or more amplitudes representing the RF signal data;

compare the pattern of the one or more frequencies and the one or more amplitudes representing the RF signal data to known patterns of frequencies and amplitudes known to be associated with UAVs; and

upon determination that the pattern of the one or more frequencies and the one or more amplitudes representing the RF signal data substantially matches at least one of the known patterns, denote the received RF signal data as corresponding to a UAV in the particular air space.

12. The system of claim 11, wherein the processor is further operative to, prior to receiving the RF signal data, tune the particular RF sensor to receive signals from a predetermined frequency range.

13. The system of claim 12, wherein the predetermined frequency range comprises between about 1 MHz to about 6 GHz.

14. The system of claim 11, wherein the processor is further operative to, prior to filtering the RF signal data, determine whether signal energy associated with the RF signal data exceeds a predetermined energy threshold indicative of UAVs.

15. The system of claim 14, wherein the predetermined energy threshold comprises a value of at least about −

86 dBFS.

16. The system of claim 11, wherein the one or more unwanted frequencies comprise signal noise or sampling artifacts.

17. The system of claim 11, wherein the step of denoting the received RF signal data as corresponding to a UAV in the particular air space comprises assigning a confidence level to the received RF signal data as emanating from a UAV, wherein the confidence level comprises a statistical confidence measure that the RF signal data emanated from a UAV.

18. The system of claim 11, wherein the system further comprises a database, and the processor is further operative to store the received RF signal data in the database.

19. The system of claim 18, wherein the processor is further operative to associate the received RF signal data in the database with an indication that the RF signal data emanated from a UAV.

20. The system of claim 11, wherein the processor is further operative to initiate an alert to a system user that a UAV has been detected in the particular air space.