Dou Pei

Title: Dou Pei: Innovator in Unmanned Aerial Vehicle Identification

Introduction

Dou Pei is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of unmanned aerial vehicles (UAVs). His innovative work focuses on improving the identification methods of UAVs using advanced technologies.

Latest Patents

Dou Pei 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 to achieve accurate UAV classification. This invention enhances identification accuracy without significantly increasing training time, making it a more effective solution for UAV type identification.

Career Highlights

Dou Pei is affiliated with Hangzhou Dianzi University, where he contributes to research and development in UAV technologies. His work has garnered attention for its innovative approach and practical applications in the field.

Collaborations

Dou Pei collaborates with esteemed colleagues, including Zhigang Zhou and Jiangong Ni, who contribute to his research endeavors.

Conclusion

Dou Pei's contributions to UAV identification methods exemplify the intersection of technology and innovation. His work not only advances the field but also sets a precedent for future research in unmanned aerial vehicle technologies.