Modern Radar Detection Theory

Antonio De Maio is a Professor at the University of Naples Federico II, Department of Electrical Engineering and Information Technology, where his research interests lie in the field of statistical signal processing, with emphasis on radar detection and convex optimization applied to radar signal processing. He is a Senior Area Editor of IEEE Transactions on Signal Processing, a member of the IEEE AESS Radar Panel and of the IEEE Sensor Array Processing Technical Committee, and has published more than 200 technical papers in international journals or proceedings of international conferences.Maria Sabrina Greco is a Professor at the University of Pisa, Department of Information Engineering, where her research interests include radar clutter models, coherent and incoherent detection in non-Gaussian clutter, passive radars, multistatic and cognitive radars. She serves on the editorial boards of IET Radar, Sonar and Navigation and Journal of Advances in Signal Processing, and she is the Editor-in-Chief of the IEEE Aerospace and Electronic Systems Magazine. She is a member of the IEEE Sensor Array Processing Technical Committees, of the IEEE AESS and of SP Boards of Governors, and Chair of the IEEE AESS Radar Panel.

• Chapter 1: Introduction to Radar DetectionChapter 2: Radar Detection inWhite Gaussian Noise: A GLRT FrameworkChapter 3: Subspace Detection for Adaptive Radar: Detectors and Performance AnalysisChapter 4: Two-Stage Detectors for Point-Like Targets in Gaussian Interference with Unknown Spectral PropertiesChapter 5: Bayesian Radar Detection in InterferenceChapter 6: Adaptive Radar Detection for Sample-Starved Gaussian Training ConditionsChapter 7: Compound-Gaussian Models and Target Detection: A Unified ViewChapter 8: Covariance Matrix Estimation in SIRV and Elliptical Processes and Their Applications in Radar DetectionChapter 9: Detection of Extended Target in Compound-Gaussian Clutter