由信息与通信工程学院主办的“信通论坛”本次特别邀请那不勒斯费德里科二世大学(University of Naples Federico II) Antonio De Maio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：Rule-Based Scheduling for MPARs performing Sensing and Communications
二、主讲人：University of Naples Federico II，Antonio De Maio教授
三、时 间：7月10号下午14:30-15:30
四、地 点：科研楼B302
五、主持人：信息与通信工程学院，余显祥副教授
六、内容简介
A Multifunction phased array radar (MPAR) is capable of performing sensing and communication by functionally grouping a phased array into tailored sub-apertures, each dedicated to a distinct task. Because of limited available resources, such as bandwidth, power aperture product, and time, it is important to properly allocate them to each sub-aperture. This lecture examines a rule-based task scheduling algorithm wherein communication (COM) looks are employed to fill the vacant intraslot time left by the radar tasks that are previously allocated, namely, volume and cued search, update and confirmation tracking. The allocation of the looks is performed to each time slot according to the task priority, but some of them (i.e., volume/cued/COM) are parallelized when the available bandwidth and power-aperture product (PAP) allow for it. Simulations conducted in some relevant scenarios demonstrate the validity of the proposed allocation strategy in terms of bandwidth utilization and time occupancy.
七、主讲人简介：
Antonio De Maio (S'01-A'02-M'03-SM'07-F'13) was born in Sorrento, Italy, on June 20, 1974. He received the Dr.Eng. degree (with honors) and the Ph.D. degree in information engineering, both from the University of Naples Federico II, Naples, Italy, in 1998 and 2002, respectively. Currently, he is a Professor with the University of Naples Federico II. His research interest lies in the field of statistical signal processing, with emphasis on radar detection and optimization theory applied to radar signal processing. Dr. De Maio is a Fellow member of IEEE and the recipient of the 2010 IEEE Fred Nathanson Memorial Award as the young (less than 40 years of age) AESS Radar Engineer 2010 whose performance is particularly noteworthy as evidenced by contributions to the radar art over a period of several years, with the following citation for "robust CFAR detection, knowledge-based radar signal processing, and waveform design and diversity". Dr. De Maio is the recipient of the 2024 IEEE AESS Warren White Award, to recognize a radar engineer for outstanding achievements due to a major technical advance (or series of advances) in the art of radar engineering, with the following citation “for contributions to radar signal processing techniques for target detection, waveform design and electronic protection”.
八、主办单位：信息与通信工程学院
