Compressed Sensing in Radar Signal Processing
eBook - PDF

Compressed Sensing in Radar Signal Processing

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Compressed Sensing in Radar Signal Processing

About this book

Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar.

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Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Dedication
  6. Contents
  7. List of Contributors
  8. Introduction
  9. List of Symbols
  10. 1 Sub-Nyquist Radar: Principles and Prototypes
  11. 2 Clutter Rejection and Adaptive Filtering in Compressed Sensing Radar
  12. 3 RFI Mitigation Based on Compressive Sensing Methods for UWB Radar Imaging
  13. 4 Compressed CFAR Techniques
  14. 5 Sparsity-Based Methods for CFAR Target Detection in STAP Random Arrays
  15. 6 Fast and Robust Sparsity-Based STAP Methods for Nonhomogeneous Clutter
  16. 7 Super-Resolution Radar Imaging via Convex Optimization
  17. 8 Adaptive Beamforming via Sparsity-Based Reconstruction of Covariance Matrix
  18. 9 Spectrum Sensing for Cognitive Radar via Model Sparsity Exploitation
  19. 10 Cooperative Spectrum Sharing between Sparse Sensing-Based Radar and Communication Systems
  20. 11 Compressed Sensing Methods for Radar Imaging in the Presence of Phase Errors and Moving Objects
  21. Index

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Yes, you can access Compressed Sensing in Radar Signal Processing by Antonio De Maio,Yonina C. Eldar,Alexander M. Haimovich in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Signals & Signal Processing. We have over one million books available in our catalogue for you to explore.