Tenure-track Associate Professor, Xidian University, China
Dr. Zehua Yu is an esteemed academic and researcher in the field of signal and information processing, with a specific focus on distributed radar systems and signal processing algorithms. He holds a Ph.D. in Signal and Information Processing from Xidian University, Xi’an, China. Dr. Yu has published numerous papers in high-impact journals, such as IEEE Transactions on Signal Processing and Remote Sensing. His research contributes significantly to the development of innovative techniques in radar system localization and target parameter estimation. He has received substantial research funding, including from the National Natural Science Foundation of China (NSFC) and Xidian-Huawei. Besides his research, Dr. Yu is a respected reviewer for several prestigious journals, demonstrating his active involvement in the academic community. He has also served as a Technical Program Committee (TPC) member at IEEE conferences, further solidifying his leadership in the field.
Profile
Scopus
Education
Dr. Zehua Yu earned his Ph.D. in Signal and Information Processing from Xidian University, located in Xi’an, China. His academic journey has been marked by a profound commitment to advancing radar systems and signal processing technologies. During his doctoral research, Dr. Yu focused on distributed radar systems and signal processing algorithms, specializing in improving target localization and parameter estimation in complex environments. His research skills, academic discipline, and dedication to innovation have earned him recognition among peers and mentors in the field. Dr. Yu’s strong academic foundation continues to guide his work as a researcher, educator, and leader in the radar and communication technologies space. His contributions have had a significant impact on advancing the theoretical and practical aspects of distributed radar systems. The knowledge and expertise he has developed throughout his academic career enable him to lead and mentor the next generation of researchers in the field.
Experience
Dr. Zehua Yu has extensive experience in both academic research and applied technology, making him a highly respected figure in the field of radar signal processing. As a faculty member at Xidian University, he leads various research projects focusing on distributed radar systems, target parameter estimation, and integrated sensing and communication (ISAC). Dr. Yu’s experience includes significant collaborations with industry and academic partners, including funding from the National Natural Science Foundation of China (NSFC) and Xidian-Huawei. His research has contributed to the development of novel algorithms for target localization in distributed MIMO radar systems. In addition to his research, Dr. Yu has been actively involved in professional service, such as serving as a reviewer for high-impact journals like IEEE Signal Processing Letters and IEEE Transactions on Communications. His experience extends to conference service, where he has been a Technical Program Committee (TPC) member at major IEEE conferences like GLOBECOM.
Awards and Honors
Dr. Zehua Yu has received multiple prestigious awards and honors for his contributions to radar signal processing and communication technologies. Notably, he has been awarded funding for his research from the National Natural Science Foundation of China (NSFC) and Xidian-Huawei, demonstrating the high regard his work has earned in the academic and industrial communities. His significant contributions to distributed radar systems and robust target localization have garnered widespread recognition in the scientific community. Dr. Yu’s consistent publication in top-tier journals like IEEE Transactions on Signal Processing and Remote Sensing has earned him accolades from both academic peers and industry professionals. Furthermore, his active involvement as a reviewer for high-impact journals and as a Technical Program Committee (TPC) member at IEEE conferences is a testament to his leadership and expertise in the radar signal processing field. These honors reinforce Dr. Yu’s standing as a leading researcher in his field.
Research Focus
Dr. Zehua Yu’s research focuses on advancing radar systems and signal processing technologies, particularly in the areas of distributed radar systems, target parameter estimation, integrated sensing and communication (ISAC), and signal processing algorithms. His work aims to enhance the performance, accuracy, and reliability of radar systems, particularly in complex environments. Dr. Yu has made significant contributions to robust target localization in distributed MIMO radar systems, focusing on overcoming challenges such as sensor errors, outliers, and range deception jamming. His work also explores novel algorithms for multi-target association and localization, addressing the specific needs of distributed radar systems. Additionally, his research in ISAC is critical for integrating radar sensing with communication technologies, which is vital for future intelligent communication systems. Through his work, Dr. Yu aims to address key challenges in radar signal processing and to contribute to the development of cutting-edge solutions in the radar and communication industries.
Publication Top Notes
- Efficient Direct Target Localization for Distributed MIMO Radar with Expectation Propagation and Belief Propagation 📡📍
- Closely Spaced Multi-Target Association and Localization Using BR and AOA Measurements in Distributed MIMO Radar Systems 🎯🛰️
- Message Passing Based Robust Target Localization in Distributed MIMO Radars in the Presence of Outliers 💬🎯
- Message Passing Based Target Localization Under Range Deception Jamming in Distributed MIMO Radar 🔒📡
- Robust Target Localization in Distributed MIMO Radars Based on Iterative Reweight Least Squares 🔄📍
- Moving Target Localization in Distributed MIMO Radar Systems with Sensor Position Errors in the Presence of a Calibration Object 🚗📡
- An Improved Planar Approximation Localization Method in Distributed Airborne Radars ✈️📍
- Mainlobe Interference Suppression via Transmit Phase Codes Optimization in MIMO Radar Systems 🚀🎯
- Fully Distributed Neural Control of Periodically Time-Varying Parameterized Stochastic Nonlinear Multi-Agent Systems with Hybrid-Order Dynamics 🤖📊
- Constant Frequency Error Effects and Their Elimination in Distributed ISAR Fusion Imaging 🛸🎥