由信息与通信工程学院主办的“信通论坛”活动特别邀请以色列本古里安大学Igor Bilik教授来校作学术交流。具体安排如下，欢迎广大师生参加。
一、主 题：Neural Network-based Target Detection and Localization within Heavy-Tailed Clutter
二、主讲人：以色列本古里安大学 Igal Bilik教授
三、时 间：2024年11月20日（周三）10：30-12：00
四、地 点：清水河校区信息与通信工程学院科研楼C216
五、主持人：信息与通信工程学院 易伟教授
六、内容简介：
This work addresses the problem of radar target detection and direction-of-arrival (DOA) estimation and enumeration of in the presence of non- Gaussian, heavy-tailed, and spatially-colored interference/clutter. Conventional range-Doppler target detectors and DOA estimators assume Gaussian-distributed Clutter and interference, but their performance is significantly degraded in the presence of correlated heavy-tailed distributed clutter. Derivation of optimal detection and DOA estimation algorithms within heavy-tailed distributed clutter is analytically intractable. This work proposes a neural network (NN)-based approach for multiple target detection range-Doppler domain and their DOA estimation in the. The proposed approach is based on a unified NN model to process the time-domain radar signal for a variety of signal-to-clutter-plus-noise ratios (SCNRs) and clutter distributions, simplifying the detector architecture and the neural network training procedure. The proposed approach utilizes a single NN instance for simultaneous source enumeration and DOA estimation. It is shown via simulations that the proposed approach significantly outperforms conventional and NN-based approaches in terms of probability of detection and probability of resolution, estimation accuracy, and source enumeration accuracy in conditions of low SIR, small sample support, and when the angular separation between the source DOAs and the spatially-colored interference is small.
七、主讲人简介：
Igal Bilik received B.Sc., M.Sc., and Ph.D. degrees in electrical and computer engineering from the Ben-Gurion University of the Negev, Beer Sheva, Israel, in 1997, 2003, and 2006, respectively. During 2006–2008, he was a postdoctoral research associate in the Department of Electrical and Computer Engineering at Duke University, Durham, NC. During 2008-2011, he was an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts, Dartmouth. During 2011-2019, he was a Staff Researcher at GM Advanced Technical Center, Israel, leading automotive radar technology development. Between 2019 and 2020, he was leading the Smart Sensing and Vision Group at GM R&D, responsible for developing state-of-the-art automotive radar, lidar, and computer vision technologies. Since Oct. 2020, he has been an Assistant Professor with the School of Electrical and Computer Engineering, Ben-Gurion University of the Negev. Since 2020, he has been a member of the IEEE AESS Radar Systems Panel Committee and a Vice-Chair of the Civilian Radar Committee. He is an Acting Officer of the IEEE Vehicular Technology Chapter in Israel and chairs of the Autonomous and Connected Transportation Committee at the Israeli Center for Smart Transportation Research. He served as an Associate Editor (AE) for the IEEE Transactions on Aerospace and Electronic Systems during 2020–2024 and is currently a Senior Editor (SE) for these transactions. He has been an AE of the IEEE Sensors and IEEE TRS since 2022 and a Member of the Transactions on Radar Systems Editorial Committee. His research interests are in automotive radar signal processing, array signal processing, detection and estimation theory, UAEV sensing, and sensor fusion. He has more than 240 patent inventions and has authored more than 90 peer-reviewed academic publications. He received the Best Student Paper Awards at IEEE RADAR 2005 and IEEE RADAR 2006 Conferences, the Student Paper Award at the 2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, the GM Product Excellence Recognition in 2017, and IEEE TAES Industrial Innovation Award in 2024.
