Lecture Content Overview:

This lecture is focused on adaptive radar detection in the presence of interference with unknown covariance matrix. After motivating the importance of the topic, the data collection process implemented in a radar system is described together with the mathematical model for the useful target and the interference component. Hence the target detection problem is formulated and some viable solutions are presented (such as for instance Kelly's Generalized Likelihood Ratio Detector, Adaptive Matched Filter (AMF), Rao test, and Wald test. Finally computational complexity and performance issues in terms of detection and false alarm probability are discussed.

Lecturer's Profile:

Antonio De Maio 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.He 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.

Lecture Information:

时间：2024年7月13日（星期六）10：00

地点：犀浦校区 X30546

主持人：葛鹏 博士

主办单位：轨道交通电气化与自动化111引智基地