EE论坛:Transmit Adaptivity in Radar
发布于:2017-06-30 15:40:20   |   作者:[学院] 电工学院   |   浏览次数:430

讲座时间:2017年7月12日14:30

讲座地点:C218

讲座题目: Transmit Adaptivity in Radar

主讲人: Prof. Antonio De Maio (Italy), Professor, IEEE Fellow, Department of Information engineering

 

报告简介: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 newtrends 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.

Keywords: Cognitive radar, transmitter and receiver, biological inspiring principles, signal processing

 

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. From October to December 2004, he was a Visiting Researcher with the U.S. Air Force Research Laboratory, Rome, NY. From November to December 2007, he was a Visiting Researcher with the Chinese University of Hong Kong, Hong Kong. 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".