Modern radar detection theory / edited by Antonio De Maio, Maria Sabrina Greco

IET Digital Library: Modern Radar Detection Theory
edited by:
ANTONIO DE MAIO and Maria Sabrina Greco
spendergast: Antonio De Maio Publications

Description

 Recently, various algorithms for radar signal detection that rely heavily upon complicated processing and/or antenna architectures have been the subject of much interest. These techniques owe their genesis to several factors. One is revolutionary technological advances in high-speed signal processing hardware and digital array radar technology. Another is the stress on requirements often imposed by defence applications in areas such as airborne early warning and homeland security. This book explores these emerging research thrusts in radar detection with advanced radar systems capable of operating in challenging scenarios with a plurality of interference sources, both man-made and natural.


Results on real radar data are also discussed. Modern Radar Detection Theory provides a  comprehensive reference on the latest developments in adaptive radar detection for researchers, advanced students and engineers working on statistical signal processing and its applications to radar systems.


 Modern Radar Detection Theory - The IET

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.

View the full table of contents 

spendergast: Radar Detection TOC

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

Modern Radar Detection Theory download « John's notes

Hardly: the Spectre I model hasn’t been used for years and modern Spectres can easily spot .
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UC San Diego /Modern radar detection theory / edited by Antonio De Maio, Maria Sabrina Greco