Modern Radar Detection Theory
IET Digital Library
This title is available electronically through the IET Digital Library
Book title: Modern Radar Detection Theory
Author: Maria Sabrina Greco and Antonio De Maio (eds.)
Product Code: SBRA5090
Stock Status: In stock
£57.85 Member price
£89.00 Full price
Modern Radar Detection Theory is a comprehensive reference on the latest developments in adaptive radar detection. It explores the key algorithms used with advanced radar systems, such as airborne early warning, capable of operating in challenging scenarios with a plurality of man-made and natural interference sources. Results on real radar data are extensively discussed.
Topics covered include:
- adaptive radar detection in Gaussian interference with unknown spectral properties
- invariance theory as an instrument to force the Constant False Alarm Rate (CFAR) property at the design stage
- one-stage and two-stage detectors and their performances
- operating scenarios where a small number of training data for spectral estimation is available
- Bayesian radar detection to account for prior information in the interference covariance matrix
- radar detection in the presence of non-Gaussian interference.
Detector design techniques based on a variety of criteria are thoroughly presented and CFAR issues are discussed. Performance analyses representative of practical airborne as well as ground-based and shipborne radars situations are shown.
About the Editors
Antonio De Maio is a Professor at the University of Napoli "Federico II", DIETI. His research interests lie in the field of statistical signal processing, with emphasis on radar detection and convex optimization applied to radar signal processing.
Maria Sabrina Greco is a Professor at the Department of Information Engineering of the University of Pisa. Her research areas include radar clutter models, coherent and incoherent detection in non-Gaussian clutter, passive radars, multistatic and cognitive radars
Modern Radar Detection Theory will interest researchers, advanced students and engineers in government and industry working on statistical signal processing and its applications to radar systems.