Adaptive Detection of Multichannel Signals Exploiting Persymmetry

Auteur

Jun Liu is an Associate Professor with the Department of Electronic Engineering and Information Science, University of Science and Technology of China. Dr. Liu is a member of the Sensor Array and Multichannel (SAM) Technical Committee, IEEE Signal Processing Society.

Danilo Orlando is an Associate Professor at Università degli Studi "Niccolò Cusano". His research interests focus on signal processing for radar and sonar systems. He has co-authored more than 150 publications in international journals, conferences, and books.

Chengpeng Hao is a Professor at the Institute of Acoustics, Chinese Academy of Sciences. His research interests are in the fields of statistical signal processing, array signal processing, radar, and sonar engineering. He has authored and co-authored more than 100 scientific publications in international journals and conferences.

Weijian Liu is an Associate Professor with the Wuhan Electronic Information Institute, China. His research interests include multichannel signal detection and statistical and array signal processing.

Texte du rabat

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.

Contenu

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