由信息与通信工程学院主办的“信通论坛”活动特别邀请那不勒斯费德里克二世大学Augusto Aubry教授作学术交流。具体安排如下,欢迎广大师生参加。
主 题:A Robust Framework to DesignOptimal Sensor Network Configuration for Target Localization
时 间:2025年7月7日15:10-16:10
地 点:清水河校区科研楼C216
主讲人:Associate Professor Augusto Aubry(University of Naples Federico II)
主持人:信息与通信工程学院余显祥副教授
报告简介:This talk focuses on the challenge of designing the optimal configuration for monostatic radars within a multiplatform network. Leveraging the Cramér-Rao bound (CRB) of the target position estimation based on radar range measurements, two distinct performance metrics (regardless of the target’s actual location) are explored. Unlike the state-of-the-art techniques, which usually assume the target is at the center of the sensing region and focus on optimizing the angular orientation of the radar nodes, this approach develops a novel way to design the optimal radars deployment without prior knowledge of the target's location. Specifically, the design considers a region where the target is likely to be present and aims at minimizing either the average trace of the CRB over a grid of points sampling the surveillance area (referred to as average CRB), or the maximum trace of the CRB over the same grid of points (referred to as worst-case CRB). Hence, an optimization framework based on block majorization-minimization (referred to as block–MM) is proposed to tackle the formulated resource allocation problems. Notably, regardless of the performance metric chosen, the design objective decreases monotonically along with the iteration steps of the proposed algorithm and convergence to a stationary point. Importantly, this framework can handle nonuniform sensor noise variances, significantly improving its practical utility. Extensive numerical simulations demonstrate the effectiveness of the proposed resource allocation strategies.

主讲人简介:Augusto Aubryis an internationally acclaimed scholar in radar signal processing whose research centers on mathematical optimization theory to tackle critical challenges in radar systems operating within complex environments, including detection, waveform design, and interference suppression. Possessing profound academic expertise coupled with extensive industrial collaboration experience, his influential contributions hold significant weight in emerging areas such as spectrum sharing and cognitive radar. In teaching, Aubry emphasizes integrating theoretical principles with engineering practice, having nurtured a large cohort of specialized talents in radar and communications. His distinguished career has been consistently recognized by prestigious institutions like IEEE, demonstrating exceptional academic leadership and innovation; he has conducted collaborative research at renowned institutions including Princeton University, Bell Labs, and Hong Kong Baptist University. Aubry has published 96 journal papers in premier outlets such as IEEE Transactions on Signal Processing and IEEE Transactions on Aerospace and Electronic Systems, along with 82 conference papers garnering multiple Best Paper Awards (e.g., Best Student Paper Award, IEEE Radar Conference 2013). His honors include the **2022 IEEE Fred Nathanson Memorial Radar Award (Top Young Radar Engineer under 40), IEEE Senior Membership, and multiple IEEE Transactions Best Paper Awards and international conference recognitions.