雷达中的传输自适应
Transmit Adaptivity in Radar
   Antonio De Maio
报告人照片   Antonio De Maio 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 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".
  Radar performance is strongly dependent on the transmit waveform and its parameters which must adapted depending on the surrounding environment, radar mission, goal, and task. Waveform adaptivity is a relatively new paradigm, involving a continuous variation of the transmitted signal, with the main purpose and aim of dynamically optimizing the radar performance to fulfill the more and more stressing radar performance requirements. In this talk some new trends in transmit signal optimization will be introduced and discussed. Specifically, the design of radar waveforms, sharing appealing features and ensuring spectral coexistence with other Radio Frequency (RF) systems, will be pursued according to a rigorous framework based on modern optimization theory.
报告时间:2017年07月06日09时30分    报告地点:西区电二楼信息科学技术学院208会议室
报名截止日期:2017年07月06日    可选人数:50