New Methodologies for Understanding Radar Data (Radar, Sonar and Navigation)

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New Methodologies for Understanding Radar Data (Radar, Sonar and Navigation)

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  • 製本 Hardcover:ハードカバー版/ページ数 499 p.
  • 言語 ENG
  • 商品コード 9781839531880
  • DDC分類 621.3848

Full Description

Research in the domain of radar signal understanding has seen interesting advances in recent years, mainly due to the developments around cognitive radar and the use of modern machine learning algorithms. This book brings together these strands of research into a coherent and holistic picture, presenting a consolidated approach to understanding radar signals.

The book begins with an introduction, which provides some historical and philosophical context to developing methodologies for understanding radar signals, introduces new techniques, and outlines the book's approach to the topic. The book is then divided into three parts: the first focusing on statistical and conventional methods for interpreting radar data; the second addressing compressed sensing and cognitive methods for understanding radar data; and the third covering machine learning methods for understanding radar and remote sensing data.

New Methodologies for Understanding Radar Data provides a complete, systematic guide to this multi-faceted topic for advanced researchers and professionals in radar engineering and signal processing.

Contents

Chapter 1: New methods for radar signal understanding
Chapter 2: Understanding FM radar signal through parameter estimation
Chapter 3: Non-linear estimation algorithms to analyse radar signals
Chapter 4: Understanding radar signals in a highly heterogeneous clutter environment
Chapter 5: Signature characteristics and discrimination of small airborne targets with a staring radar
Chapter 6: SAR coherent change detection
Chapter 7: Modern GPR target recognition methods
Chapter 8: Jet engine recognition via sparse decomposition of ISAR images
Chapter 9: Waveform design for efficient radar signal recovery
Chapter 10: Sea ice concentration estimation techniques using machine learning: an end-to-end workflow for estimating concentration maps from SAR images
Chapter 11: Cognitive radar for ground moving target imaging
Chapter 12: GAN4SAR: generative adversarial networks for synthetic aperture radar imaging of targets signature
Chapter 13: Micro-Doppler
Chapter 14: Kinematic and linguistic interpretation of human motion via RF signal analysis

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