Adaptive Detection of Multichannel Signals Exploiting Persymmetry [Paperback]

1. Basic Concept  2. Output SINR Analysis  3. Invariance Issues under Persymmetry  4. Persymmetric Adaptive Subspace Detector  5. Persymmetric Detectors with Enhanced Rejection Capabilities  6. Distributed Target Detection in Homogeneous Environments  7. Robust Detection in Homogeneous Environments  8. Adaptive Detection With Unknown Steering Vector  9. Adaptive Detection in Interference  10. Adaptive Detection in Partially Homogeneous Environments  11. Robust Detection in Partially Homogeneous Environments  12. Joint Exploitation of Persymmetry and Symmetric Spectrum  13. Adaptive Detection After Covariance Matrix Classification  14. MIMO Radar Target Detection This book offers a systematic presentation of persymmetric adaptive detection, including detector derivations and the definition of key concepts, followed by detailed discussion relating to theoretical underpinnings, design methodology, design considerations and techniques enabling its practical implementation.

This book offers a systematic presentation of persymmetric adaptive detection, including detector derivations and the definition of key concepts, followed by detailed discussion relating to theoretical underpinnings, design methodology, design considerations, and techniques enabling its practical implementation.

The received data for modern radar systems are usually multichannel, namely, vector-valued, or even matrix-valued. Multichannel signal detection in Gaussian backgrounds is a fundamental problem for radar applications. With an overarching focus on persymmetric adaptive detectors, this book presents the mathematical models and design principles necessary for analyzing the behavior of each kind of persymmetric adaptive detector. Building upon that, it also introduces new design approaches and techniques that will guide engineering studenl£®