Dr. Xinxin Ouyang, National Key Laboratory on Blind Signal Processing, China
Dr. Xinxin Ouyang is a distinguished researcher specializing in signal processing and geolocation techniques. He earned his B.S. (2010), M.S. (2013), and Ph.D. (2017) degrees from the University of Electronic Science and Technology of China (UESTC). Dr. Ouyang has made significant contributions to the field of Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) estimation algorithms, particularly for frequency-hopping signals in challenging environments such as flat fading channels. His work has been published in prominent journals, including IET Signal Processing, IET Communications, and Electronics, and he has presented his findings at esteemed conferences like IEEE ChinaSIP. Dr. Ouyang’s research addresses cutting-edge challenges in coherent integration methods and their applications in geolocation and signal analysis, positioning him as a key contributor to advancements in modern signal processing.
Professional Profile:
SCOPUS
Summary of Suitability for the Best Researcher Award
Dr. Xinxin Ouyang is a highly qualified researcher with a robust academic and professional background in signal processing, TDOA/FDOA estimation methods, and coherent integration techniques. Below are the key points supporting his suitability for the Best Researcher Award.
📚 Education
- B.S. in Electronic Science and Technology, University of Electronic Science and Technology of China (2010)
- M.S. in Electronic Science and Technology, University of Electronic Science and Technology of China (2013)
- Ph.D. in Electronic Science and Technology, University of Electronic Science and Technology of China (2017)
💼 Work Experience
- Specialized researcher in signal processing and geolocation techniques, with expertise in TDOA/FDOA estimation methods for frequency-hopping and frequency-shift keying signals.
- Contributor to advancements in geolocation in flat fading channels and coherent integration for improved signal estimation techniques.
🏆 Achievements and Contributions
- Published 6 peer-reviewed articles in prestigious journals and conferences, including:
- IET Signal Processing (2017)
- Electronics (2022, 2023, 2025)
- IET Communications (2020)
- IEEE ChinaSIP (2015)
- Developed innovative algorithms for geolocation and signal processing, significantly improving TDOA/FDOA estimation accuracy and reliability.
- Contributed to the foundational understanding of the Cramer-Rao Bound for TDOA estimation in challenging environments.
🏅 Awards and Honors
- Recognized for excellence in research contributions in signal processing by leading academic organizations.
- Honored for presenting groundbreaking findings at the IEEE ChinaSIP Conference (2015).
Publication Top Notes:
Multiple Signal TDOA/FDOA Joint Estimation with Coherent Integration
A Coherent Integrated TDOA Estimation Method for Target and Reference Signals
TDOA/FDOA estimation algorithm of frequency-hopping signals based on CAF coherent integration
A Phase Delay Estimation Algorithm of Frequency Hopping Signal Based on Chinese Reminder Theorem
A Novel Method for Unambiguous DFO Estimation of Radar Signals in LEO Dual-Satellite Geolocation System