Patents by Inventor Ender Ozturk

Ender Ozturk has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Drone detection, classification, tracking, and threat evaluation system employing field and remote identification (ID) information
    Patent number: 11915602
    Abstract: The present disclosure describes various embodiments of systems and methods of detecting, classifying, and making a threat assessment of an unmanned aerial vehicle (UAV). One such method comprises detecting a radio frequency (RF) signal; determining that the RF signal is generated from an unmanned aerial vehicle (UAV) based on the detected RF signal; classifying at least a make and model of the UAV based on the detected RF signal; sensing for a remote identification field data broadcasted by the UAV; receiving remote identification information of the UAV from a network database, if the network database is available; assessing a threat likelihood of the UAV based on joint processing of at least the RF signal based classification of the UAV and the received remote identification information of the UAV; and signaling an alert containing a description of the UAV and the threat if the UAV is assessed as a harmful threat.
    Type: Grant
    Filed: July 28, 2021
    Date of Patent: February 27, 2024
    Assignee: North Carolina State University
    Inventors: Ender Ozturk, Fatih Erden, Haluk Celebi, Ismail Guvenc, Ozgur Ozdemir
  • DRONE DETECTION, CLASSIFICATION, TRACKING, AND THREAT EVALUATION SYSTEM EMPLOYING FIELD AND REMOTE IDENTIFICATION (ID) INFORMATION
    Publication number: 20220036741
    Abstract: The present disclosure describes various embodiments of systems and methods of detecting, classifying, and making a threat assessment of an unmanned aerial vehicle (UAV). One such method comprises detecting a radio frequency (RF) signal; determining that the RF signal is generated from an unmanned aerial vehicle (UAV) based on the detected RF signal; classifying at least a make and model of the UAV based on the detected RF signal; sensing for a remote identification field data broadcasted by the UAV; receiving remote identification information of the UAV from a network database, if the network database is available; assessing a threat likelihood of the UAV based on joint processing of at least the RF signal based classification of the UAV and the received remote identification information of the UAV; and signaling an alert containing a description of the UAV and the threat if the UAV is assessed as a harmful threat.
    Type: Application
    Filed: July 28, 2021
    Publication date: February 3, 2022
    Inventors: Ender Ozturk, Fatih Erden, Haluk Celebi, Ismail Guvenc, Ozgur Ozdemir