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Time-Frequency Transforms for Radar Imaging and Signal Analysis
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Time-Frequency Transforms for Radar Imaging and Signal Analysis

Time-Frequency Transforms for Radar Imaging and Signal Analysis

Victor C. Chen, Hao Ling

214 pages, parution le 19/02/2002

Résumé

Here's an innovative hands-on book on time-frequency transforms for radar imaging and signal analysis. It teaches you more efficient ways to extract dispersive scattering features; detect and extract weak signals in noise; form clear radar images; estimate parameters and perform motion compensation; detect and track moving targets in the synthetic aperture radar; and analyze vibration and rotation induced micro-Doppler.

This unique resource introduces a new image formation algorithm based on time-frequency-transforms, showing its advantage over the more conventional Fourier-based image formation. Referenced with over 170 equations and 80 illustrations, the book presents new algorithms that help improve the result of radar imaging and signal processing. Moreover, the authors discuss future trends in time-frequency to analyze micro-Doppler, and provide you with a newly developed time-frequency approach to radar signal and image processing to help you solve problems associated with conventional approaches.

Contents:

Foreword
Preface
Acknowledgments

  1. Introduction
  2. Time-Frequency Transforms
  3. Detection and Extraction of Signal Noise
  4. Time-Frequency Analysis of Radar Range Profiles
  5. Time-Frequency Based Image Formation
  6. Motion Compensation in Inverse Synthetic Aperture Radar Imaging Using Time-Frequency Techniques
  7. Synthetic Aperture Radar Imaging of Moving Target
  8. Time-Frequency Transform for Analysis of Micro-Doppler Phenomena
  9. Trends in Time-Frequency Transforms for Radar Applications.

List of Acronyms
About the Authors
Index

Caractéristiques techniques

  PAPIER
Éditeur(s) Artech House
Auteur(s) Victor C. Chen, Hao Ling
Parution 19/02/2002
Nb. de pages 214
Format 15,5 x 23,5
Couverture Broché
Poids 513g
Intérieur Noir et Blanc
EAN13 9781580532884

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