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.

• 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