Jiangong Ni

Title: Jiangong Ni: Innovator in Unmanned Aerial Vehicle Identification

Introduction

Jiangong Ni is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of unmanned aerial vehicles (UAVs) through his innovative research and development efforts. His work focuses on enhancing the identification methods of UAVs using advanced technologies.

Latest Patents

Jiangong Ni 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. The data set is divided into training, validation, and test sets. A UAV classification model based on Improved ResNet18 is established and trained on the training set, achieving effective UAV classification. This invention improves network identification accuracy without significantly increasing training time, making it a reasonable and effective design.

Career Highlights

Jiangong Ni is affiliated with Hangzhou Dianzi University, where he continues to advance his research in UAV technology. His academic and professional journey reflects a commitment to innovation and excellence in the field of unmanned systems.

Collaborations

Jiangong Ni has collaborated with notable colleagues, including Zhigang Zhou and Jingyu Zhao. Their combined expertise contributes to the advancement of UAV identification technologies.

Conclusion

Jiangong Ni's work in UAV identification showcases his innovative spirit and dedication to improving technology in this rapidly evolving field. His contributions are paving the way for more effective and efficient UAV classification methods.