Adaptive Detection of Multichannel Signals Exploiting Persymmetry
eBook - ePub

Adaptive Detection of Multichannel Signals Exploiting Persymmetry

  1. 296 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Adaptive Detection of Multichannel Signals Exploiting Persymmetry

About this book

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 students as well as radar engineers toward efficient detector solutions, especially in challenging sample-starved environments where training data are limited.

This book will be of interest to students, scholars, and engineers in the field of signal processing. It will be especially useful for those who have a solid background in statistical signal processing, multivariate statistical analysis, matrix theory, and mathematical analysis.

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Yes, you can access Adaptive Detection of Multichannel Signals Exploiting Persymmetry by Jun Liu,Danilo Orlando,Chengpeng Hao,Weijian Liu in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Contents
  7. List of Abbreviations
  8. List of Symbols
  9. 1 Basic Concept
  10. 2 Output SINR Analysis
  11. 3 Invariance Issues under Persymmetry
  12. 4 Persymmetric Adaptive Subspace Detector
  13. 5 Persymmetric Detectors with Enhanced Rejection Capabilities
  14. 6 Distributed Target Detection in Homogeneous Environments
  15. 7 Robust Detection in Homogeneous Environments
  16. 8 Adaptive Detection with Unknown Steering Vector
  17. 9 Adaptive Detection in Interference
  18. 10 Adaptive Detection in Partially Homogeneous Environments
  19. 11 Robust Detection in Partially Homogeneous Environments
  20. 12 Joint Exploitation of Persymmetry and Symmetric Spectrum
  21. 13 Adaptive Detection after Covariance Matrix Classification
  22. 14 MIMO Radar Target Detection