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New Methodologies for Understanding Radar Data

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Editors: Amit Kumar Mishra 1 ; Stefan Brüggenwirth 2
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Publication Year: 2021

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.

Inspec keywords: learning (artificial intelligence); radar imaging; synthetic aperture radar; parameter estimation; radar signal processing

Other keywords: least squares approximations; oceanographic techniques; sea ice; radar signal processing; FM radar; synthetic aperture radar; radar imaging; radar data; learning (artificial intelligence); nonlinear estimation; parameter estimation

Subjects: General and management topics; Radar equipment, systems and applications; General electrical engineering topics; Simulation, modelling and identification; Machine learning (artificial intelligence); Optical, image and video signal processing; Signal processing and detection; Computer vision and image processing techniques

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