Company Filing History:
Years Active: 2025
Title: Innovations of Xiaona Xue in Unmanned Aerial Vehicle Identification
Introduction
Xiaona Xue is a prominent inventor based in Hangzhou, China. She has made significant contributions to the field of unmanned aerial vehicles (UAVs) through her innovative research and development efforts. Her work focuses on enhancing the identification methods of UAVs using advanced technologies.
Latest Patents
Xiaona Xue holds a patent for an "Unmanned aerial vehicle identification method based on blind source separation and deep learning." This method involves acquiring the one-dimensional radar cross-section millimeter wave data set of the UAV. The mixed signal is obtained through a mixing process, and the improved FastICA algorithm is utilized for separation. The separated signal is then transformed into a two-dimensional image, which is augmented for further analysis. A UAV classification model based on Improved ResNet18 is established and trained on the dataset, achieving effective UAV classification while maintaining reasonable training times and improved identification accuracy.
Career Highlights
Xiaona Xue is affiliated with Hangzhou Dianzi University, where she contributes to the academic and research community. Her work has garnered attention for its innovative approach to UAV identification, showcasing her expertise in deep learning and signal processing.
Collaborations
Xiaona collaborates with esteemed colleagues such as Zhigang Zhou and Jiangong Ni, further enhancing the research output and innovation in her field.
Conclusion
Xiaona Xue's contributions to UAV identification through her patented methods highlight her role as a leading inventor in the field. Her innovative approaches continue to pave the way for advancements in unmanned aerial technology.