Yejiang Lin

Title: Yejiang Lin: Innovator in Unmanned Aerial Vehicle Identification

Introduction

Yejiang Lin 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

Yejiang Lin 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 data set, achieving effective UAV classification while maintaining reasonable training times and improved identification accuracy.

Career Highlights

Yejiang Lin is affiliated with Hangzhou Dianzi University, where he contributes to the academic and research community. His work has garnered attention for its practical applications in UAV technology, particularly in enhancing identification methods that are crucial for various industries.

Collaborations

Yejiang Lin collaborates with notable colleagues, including Zhigang Zhou and Jiangong Ni. Their combined expertise fosters a productive research environment that drives innovation in UAV identification technologies.

Conclusion

Yejiang Lin's contributions to UAV identification through his patented methods exemplify the intersection of technology and innovation. His work not only advances the field but also sets a foundation for future developments in unmanned aerial vehicle technology.