Patents by Inventor Maya MANI

Maya MANI 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).

  • Detection of LTE ENB and UE emitters using signal processing algorithms for feature recognition
    Patent number: 12532177
    Abstract: Characteristics of the waveform for received signals are determined. Statistical and/or Cyclostationary Signal Processing algorithms are used on the characteristics to identify each signal as a communication signal having a particular protocol. Autocorrelation, spectral correlation, and power Cepstrum, among others, are used to identify the signal using periodic characteristics of the waveform in the frequency domain. Rogue devices that do not adhere to the protocol are identified and actions taken accordingly.
    Type: Grant
    Filed: March 28, 2022
    Date of Patent: January 20, 2026
    Assignee: Altera Corporation
    Inventor: Maya Mani
  • Drone classification device and method of classifying drones
    Patent number: 12437661
    Abstract: A drone classification device is provided. The drone classification device includes a radio signal receiver configured to receive a radio signal, and a radio signal analyzer configured to determine physical characteristics of the received radio signal, to compare the determined physical characteristics of the received radio signal with a plurality of reference characteristics, each reference characteristics describing a drone class of a plurality of drone classes, and to classify a drone into a drone class of a plurality of drone classes depending on a result of the comparison.
    Type: Grant
    Filed: June 21, 2021
    Date of Patent: October 7, 2025
    Assignee: Intel Corporation
    Inventor: Maya Mani
  • DETECTION OF LTE ENB AND UE EMITTERS USING SIGNAL PROCESSING ALGORITHMS FOR FEATURE RECOGNITION
    Publication number: 20230308879
    Abstract: An apparatus and system for determining and identifying communication signals are described. Characteristics of the waveform for received signals are determined. Statistical and/or Cyclostationary Signal Processing algorithms are used on the characteristics to identify each signals as a communication signal having a particular protocol. Autocorrelation, spectral correlation, and power Cepstrum, among others, are used to identify the signal using periodic characteristics of the waveform in the frequency domain. Rogue devices that do not adhere to the protocol are identified and actions taken accordingly.
    Type: Application
    Filed: March 28, 2022
    Publication date: September 28, 2023
    Inventor: Maya Mani
  • DRONE CLASSIFICATION DEVICE AND METHOD OF CLASSIFYING DRONES
    Publication number: 20220415191
    Abstract: A drone classification device is provided. The drone classification device includes a radio signal receiver configured to receive a radio signal, and a radio signal analyzer configured to determine physical characteristics of the received radio signal, to compare the determined physical characteristics of the received radio signal with a plurality of reference characteristics, each reference characteristics describing a drone class of a plurality of drone classes, and to classify a drone into a drone class of a plurality of drone classes depending on a result of the comparison.
    Type: Application
    Filed: June 21, 2021
    Publication date: December 29, 2022
    Inventor: Maya MANI