This book covers radio wave propagation in the vehicular environment. It comes at a timely moment in the development of connected and automated vehicles, as they move from concept and system design studies to actual demonstrations and pilot projects.

The revised and updated second edition of this textbook teaches students to create computer codes used to engineer antennas, microwave circuits, and other critical technologies for wireless communications and other applications of electromagnetic fields and waves. Worked code examples are provided for MATLAB technical computing software.

This book provides an overview of radar waveform synthesis obtained as the result of computational optimization processes and covers the most challenging application fields. The book balances a practical point of view with a rigorous mathematical approach corroborated with a wealth of numerical case studies and some real experiments.

This book presents cutting-edge research advances in the rapidly growing areas of nanoantennas and plasmonics as well as their related enabling technologies and applications.

This book covers developments in radar micro-Doppler signatures and non-cooperative target recognition of moving targets including signatures of small drones and birds, automotive radar, passive radar for indoor applications, novel signal processing approaches using sparsity and deep learning, and Ultra Wide Band and FMCW radar chips.

This book gives a state-of-the-art overview of the hot topic of autonomous underwater vehicle (AUV) design and practice. It covers a wide range of AUV application areas such as education and research, biological and oceanographic studies, surveillance purposes, military and security applications and industrial underwater applications.

This book covers recent achievements in the area of advanced analytical and associated numerical methods as applied to various problems arising in all branches of electromagnetics.

Novel deep learning models are achieving state-of-the-art accuracy in the area of radar target recognition, sometimes exceeding human-level performance. The book provides an introduction to the key aspects of machine learning that any radar engineer seeking to apply deep learning to radar signal processing ought to be aware of.