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Clutter Modeling and Advanced Techniques of Radar Detection in Non-Gaussian Background

Release time:July 11, 2019

Topic: Clutter Modeling and Advanced Techniques of Radar Detection in Non-Gaussian Background

Speaker: Professor Maria S. Greco, Pisa University

Time: 15:00 - 17:00 PM, July 15

Venue: No. 3 Conference Room, New Main Building Conference Center

Abstract:

The modeling of the clutter echoes is a central issue for the design and performance evaluation of radar systems. Aim of this lecture is to describe the state-of-the-art approaches to the modeling and understanding of non-Gaussian radar clutter echoes and their implications on performance prediction and signal processors design.

After a first part dedicated to modern statistical and spectral models for high-resolution sea and ground clutter and to the methods of experimental validation using recorded data sets, the lecture will focus on coherent radar detection in non-Gaussian background.

In high-resolution radar systems, the disturbance cannot be modelled as Gaussian distributed and the classical detectors suffer from high losses. Then, according to the adopted disturbance model, optimum and sub-optimum detectors are derived and their performance analyzed against a non-Gaussian background. Different interpretations of the various detectors are provided that highlight the relationships and the differences among them. Moreover, some discussion is dedicated to how to make adaptive the detectors, by incorporating a proper estimate of the disturbance covariance matrix, in order to guarantee the CFAR behaviour of the detector.

A plethora of results with simulated and real recorded data will be shown.

Biography of the Speaker:

Maria S. Greco received her M.S. degree in electronic engineering in 1993 and her Ph.D. degree in information engineering in 1998. She is a full professor in the Department of Information Engineering, Pisa University, Italy. She is a corecipient of the 2001 and 2012 IEEE Aerospace and Electronic Systems Society’s (AESS’s) Barry Carlton Award for Best Paper and a recipient of the IEEE AESS 2008 Fred Nathanson Young Engineer of the Year award. She has been general chair, technical program chair, and organizing committee member of many international conferences. She is an associate editor of IET Radar, Sonar, and Navigation and the Springer Journal of Advances in Signal Processing, a senior editorial board member of IEEE Journal of Selected Topics in Signal Processing, and a senior area editor of IEEE Transactions on Signal Processing. Her general interests are in the areas of statistical signal processing, estimation, and detection theory. She is a Fellow of the IEEE.



School of Electronic and Information Engineering