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.
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