Patents by Inventor Xiaona Xue

Xiaona Xue 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: 12353977
    Abstract: An unmanned aerial vehicle (UAV) identification method based on blind source separation and deep learning is disclosed, in the method, firstly, the one-dimensional radar cross section millimeter wave data set of the UAV is acquired, and the mixed signal is obtained by mixing, and the improved FastICA algorithm is used to separate it. Secondly, the separated signal is converted into a two-dimensional image by data transformation, and the two-dimensional image is augmented, the obtained data set is divided into training set, validation set and test set. Thirdly, establish a UAV classification model based on Improved ResNet18 and train this model on the training set to achieve UAV classification. In the present invention, the training time of the network is not greatly increased while the network identification accuracy is improved, so that it can well complete the UAV type identification, and the design is more reasonable and effective.
    Type: Grant
    Filed: January 16, 2025
    Date of Patent: July 8, 2025
    Assignee: Hangzhou Dianzi University
    Inventors: Zhigang Zhou, Jiangong Ni, Jingyu Zhao, Xiaona Xue, Yejiang Lin, Dou Pei, Zhiqun Cheng