Deep Learning for Radar and Communications Automatic Target Recognition presents
a comprehensive illustration of modern artificial intelligence/machine learning
(AI/ML) technology for radio frequency (RF) data exploitation. While numerous
textbooks focus on AI/ML technology for non-RF data such as video images, audio
speech, and spoken text, there is no such book for data in the RF spectrum. Hence,
there is a need for an RF machine learning (ML) book for the research community
that captures state-of-the-art AI/ML and deep learning (DL) algorithms and future
challenges. Our goals with this book are to provide the practitioner with (i) an
overview of the important ML/DL techniques, (ii) an exposition of the technical
challenges associated with developing ML methods for RF applications, and (iii)
implementation of ML techniques on synthetic aperture radar (SAR) imagery and
communication signals classification.