System for identifying drones

• US 10,061,018 B1
• Filed: 02/19/2016
• Issued: 08/28/2018
• Est. Priority Date: 02/19/2015
• Status: Expired due to Fees

• Current Assignee: Zain Naboulsi
• Original Assignee: Zain Naboulsi
• Inventors: Naboulsi, Zain
• Primary Examiner(s): Bythrow, Peter M
• Application Number:
  US15/048,911
• Time in Patent Office: 921 Days
• CPC Class Codes: G01S 13/04 Systems determining presence of a target based on relative movement of target G01S13/56
• CPC Class Codes: G01S 17/04 Systems determining the presence of a target
• CPC Class Codes: G01S 3/02 using radio waves
• CPC Class Codes: G01S 3/78 using electromagnetic waves other than radio waves
• CPC Class Codes: G01S 7/021 Auxiliary means for detecting or identifying radar signals or the like, e.g. radar jamming signals
• CPC Class Codes: G01S 7/4804 Auxiliary means for detecting or identifying lidar signals or the like, e.g. laser illuminators

Abstract

A system for identifying a drone is adapted to determine a base threat value for a drone. The system includes a scanning system, configured to obtain data that is stored in a pattern database. A timer that has a data structure for storing a counter initialized to a predetermined value, the timer being operable to iteratively increment the counter if the counter value is less than a timer increment. A microprocessor is programmed with instructions to receive information from the scanning system about the drone. Then, to store the information in a pattern database. After that, to determine a base threat value of the drone based on the information stored in the pattern database. Finally, to communicate the base threat value to a user so that the user can determine whether the drone is a friend or a foe.

Claims

1. A system for identifying a drone is adapted to determine a base threat value for a drone;

the system comprising;

a scanning system, wherein the scanning system obtains data that is then stored in a pattern database;

a timer;

the timer having a data structure for storing a counter initialized to a predetermined value, the timer being operable to iteratively increment the counter if the counter value is less than a timer increment;

a microprocessor, programmed with instructions to;

receive information from the scanning system about the drone;

store the information in a pattern database;

determine a base threat value of the drone based on the information stored in the pattern database

communicating the base threat value to a user so that the user can determine whether the drone is a friend or a foe; and

start the counter and perform the following instructions in a loop until the timer increment is reached;

receiving identifying information from a transponder signal from the drone;

calculating an updated threat level based on the identifying information

receiving position information including a distance, a location, a speed, and an altitude from the drone;

re-calculating the updated threat level based on the position information;

determining a compass position of the drone;

re-calculating the updated threat level based on the compass position;

logging the updated threat level in the pattern database

increment the timer.

2. The system for identifying a drone of claim 1, further comprising:

a threat entry log, communicatively coupled to the microprocessor;

wherein the scanning system further comprises a radio frequency detection system that searches for a radio frequency that is within a radio frequency threat entry range;

wherein the radio frequency is recorded in the threat entry log for the drone.

3. The system for identifying a drone of claim 2,

wherein the scanning system further comprises a video and thermal imaging detection system that searches for a video and thermal image that is within an image frequency threat entry range;

wherein the video and thermal image is recorded in the threat entry log for the drone.

4. The system for identifying a drone of claim 3,

wherein the scanning system further comprises an active and passive radar detection system that searches for a radar that is within a radar frequency threat entry range;

wherein the radar is recorded in the threat entry log for the drone.

5. The system for identifying a drone of claim 4,

wherein the scanning system further comprises a lidar detection system that searches for lidar that is within a lidar threat entry range;

wherein the lidar is recorded in the lidar entry log for the drone.

6. The system for identifying a drone of claim 5, further comprising:

wherein the scanning system further comprises an audio detection system that searches for an audio signal that is within an audio frequency threat entry range;

wherein the audio signal is recorded in the threat entry log for the drone.

7. The system for identifying a drone of claim 1, wherein the microprocessor is further programmed to receive identifying information from a transponder on the drone and use the identifying information to update the base threat level of the drone.

8. The system for identifying a drone of claim 7, wherein the microprocessor is further programmed to determine positioning information from the drone and use the positioning information to update the base threat level of the drone.

9. The system for identifying a drone of claim 8, wherein the microprocessor is further programmed to determine relative motion information from the drone and use the relative motion information to update the base threat level on the drone.

10. The system for identifying a drone of claim 8, wherein the microprocessor is further programmed to determine signal strength from the drone and use the signal strength information to update the base threat level on the drone.