Amit Kumar Mishra is a professor at the Radar Remote Sensing Group, University of Cape Town, South Africa. Amit has over 15 years of experience in radar and radio system design and signal processing. His current interests are around the use of cognitive architectures and advanced signal processing and machine learning to understand radar signals. He has published more than 35 papers in ISI listed journals and over 120 papers in peer reviewed conference proceedings.Stefan Brüggenwirth is head of the Cognitive Radar Department at the Fraunhofer FHR, Germany and NATO SET panel member-at-large for machine learning and artificial intelligence for RF-systems. Stefan studied aerospace engineering in Stuttgart and Munich, where he did his PhD in the development of a cognitive system architecture for UAV mission management. He spent 2.5 years at NASA Ames Research Center in Mountain View. His research focuses on radar target identification, signal processing architectures and self-learning radar systems.

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

Amit Kumar Mishra is a professor at the Radar Remote Sensing Group, University of Cape Town, South Africa. Amit has over 15 years of experience in radar and radio system design and signal processing. His current interests are around the use of cognitive architectures and advanced signal processing and machine learning to understand radar signals. He has published more than 35 papers in ISI listed journals and over 120 papers in peer reviewed conference proceedings.Stefan Brüggenwirth is head of the Cognitive Radar Department at the Fraunhofer FHR, Germany and NATO SET panel member-at-large for machine learning and artificial intelligence for RF-systems. Stefan studied aerospace engineering in Stuttgart and Munich, where he did his PhD in the development of a cognitive system architecture for UAV mission management. He spent 2.5 years at NASA Ames Research Center in Mountain View. His research focuses on radar target identification, signal processing architectures and self-learning radar systems.

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

Amit Kumar Mishra is a professor at the Radar Remote Sensing Group, University of Cape Town, South Africa. Amit has over 15 years of experience in radar and radio system design and signal processing. His current interests are around the use of cognitive architectures and advanced signal processing and machine learning to understand radar signals. He has published more than 35 papers in ISI listed journals and over 120 papers in peer reviewed conference proceedings.Stefan Brüggenwirth is head of the Cognitive Radar Department at the Fraunhofer FHR, Germany and NATO SET panel member-at-large for machine learning and artificial intelligence for RF-systems. Stefan studied aerospace engineering in Stuttgart and Munich, where he did his PhD in the development of a cognitive system architecture for UAV mission management. He spent 2.5 years at NASA Ames Research Center in Mountain View. His research focuses on radar target identification, signal processing architectures and self-learning radar systems.

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