讲座时间：2017年7月11日14:30

讲座地点：科C218

讲座题目： Cognitive Radar Signal Processing

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

报告简介：Cognitive radar is a new paradigm to conceive the next radar generation characterized by unique and amazing features inspired to mental abilities and processes related to knowledge. Introduced by Haykin and Guerci, it is attracting huge attention within the radar community during the last few years. The key concept is that radar system performance can be enhanced through a continuous and  coordinated feedback between the transmitter and receiver which implies a dynamic adaptation of the sensor algorithms to the operational context and environmental replies. This paper discusses the biological inspiring principles of cognitive radar and analyzes the resulting conceptual architecture. Then, three challenging radar signal processing applications, which can significantly benefit from cognition, are illustrated highlighting the

potential performance benefits achievable with the awesome pro-active paradigm.

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".