Jingxuan Wu

Title: Innovations by Inventor Jingxuan Wu

Introduction

Jingxuan Wu is a notable inventor based in Zhoushan, China. He has made significant contributions to the field of detection methods through his innovative patent. With a keen understanding of deep learning and radar technology, Wu has developed a method that enhances target detection accuracy.

Latest Patents

Jingxuan Wu holds a patent for a "Deep neural network (DNN)-based multi-target constant false alarm rate (CFAR) detection method." This patent details a comprehensive approach that includes obtaining target values from radar intermediate frequency (IF) signals, processing peak sequences, and generating target detection results using a DNN model. His invention further involves the creation of a false alarm adjustment threshold and a consistent false alarm detection result, establishing a remarkable advancement in radar detection technology.

Career Highlights

Throughout his career, Jingxuan Wu has been involved with prominent research institutions. Notably, he has worked at Zhejiang University and Donghai Laboratory, where he has contributed to various projects and research initiatives. His work focuses heavily on artificial intelligence applications in radar systems.

Collaborations

Wu has collaborated with several distinguished professionals in his field, including colleagues Chunyi Song and Zhihui Cao. These partnerships have allowed him to develop his innovative ideas further and implement cutting-edge technology into his research.

Conclusion

Jingxuan Wu's contributions to the field of detection methods through his patent on DNN-based CFAR detection exhibit the impactful work being done in radar technology. As an inventor, he exemplifies the synergy between machine learning and practical applications, paving the way for future innovations in this domain.