Patents by Inventor Zikang GAO

Zikang GAO 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).

  • Patent number: 11870619
    Abstract: The present invention discloses a fast modulation recognition method for a multilayer perceptron (MLP) based on multimodally-distributed test data fusion. The method sequentially includes: preprocessing a received signal, obtaining a signal feature sequence, generating a matrix of decision statistics data o*hj?, generating an MLP an input feature by fusing the decision statistics data, recognizing a modulation mode by using the MLP, and matching an output with a corresponding classification label. The present invention has a low algorithm complexity as compared with a classical likelihood algorithm, and at the same time improves the recognition precision of a single distribution test algorithm.
    Type: Grant
    Filed: August 20, 2020
    Date of Patent: January 9, 2024
    Assignee: SOOCHOW UNIVERSITY
    Inventors: Zhechen Zhu, Zikang Gao
  • Publication number: 20220014401
    Abstract: The present invention discloses a fast modulation recognition method for a multilayer perceptron (MLP) based on multimodally-distributed test data fusion. The method sequentially includes: preprocessing a received signal, obtaining a signal feature sequence, generating a matrix of decision statistics data *hj?, generating an MLP an input feature by fusing the decision statistics data, recognizing a modulation mode by using the MLP, and matching an output with a corresponding classification label. The present invention has a low algorithm complexity as compared with a classical likelihood algorithm, and at the same time improves the recognition precision of a single distribution test algorithm.
    Type: Application
    Filed: August 20, 2020
    Publication date: January 13, 2022
    Inventors: Zhechen ZHU, Zikang GAO