Yuying Song

Title: Yuying Song: Pioneering Innovations in Deep Learning Detection Methods

Introduction

Yuying Song, an accomplished inventor based in Zhoushan, China, has made significant contributions to the field of radar signal processing through her innovative patent. With a distinct focus on developing advanced detection methods, she has utilized deep neural networks to enhance the accuracy and reliability of radar systems.

Latest Patents

Yuying Song holds a patent for a groundbreaking invention titled "Deep neural network (DNN)-based multi-target constant false alarm rate (CFAR) detection methods." This method revolutionizes the detection capabilities by employing a deep neural network approach to process radar intermediate frequency (IF) signals. The process begins with obtaining target values, including measured frequency and intensity values. It then involves generating peak sequences and employing a machine learning model, the DNN detector, to produce target detection results. Furthermore, the method estimates the scale parameter using approximated maximum likelihood estimation and adjusts the false alarm threshold based on preset rates, leading to effective constant false alarm detection results.

Career Highlights

Yuying Song's career includes impactful roles at prominent institutions such as Zhejiang University and Donghai Laboratory. Her expertise in radar technology and machine learning has been instrumental in advancing detection methodologies that address the challenges in radar signal processing. With a dedication to research and innovation, her contributions are paving the way for future developments in the field.

Collaborations

Throughout her career, Yuying has collaborated with esteemed colleagues, including Chunyi Song and Zhihui Cao. These partnerships have allowed for the exchange of ideas and the fostering of innovative solutions in radar detection and machine learning applications. Their collective efforts exemplify the spirit of collaboration in research, driving progress in technology.

Conclusion

Yuying Song stands out as a notable inventor in the domain of deep learning and radar detection. With her patent focusing on DNN-based detection methods, she is at the forefront of technological advancements that promise improved accuracy and reduced false alarms in radar systems. Her work not only highlights her innovative spirit but also contributes significantly to the growing body of knowledge in the field.