The maritime domain is of an enormous interest to our society, from the economy to health, and security. Operating in the maritime domain, on the other hand, is dangerous, expensive, and most of the time at low execution speed. Unmanned systems are in many ways suited to such environments, but the successful realisation of maritime autonomous vehicles requires an overarching design and development cycle, starting from design and modelling of unmanned systems, to control and implementation exhibiting a reliable and explainable level of autonomy and self-organization amidst the sudden and possibly extreme disturbances occurring in the uncertain and dynamic maritime environment.

This book covers the use of SAR for maritime surveillance applications. It provides a comprehensive source of material on the subject, divided into two parts. The first part deals with models and techniques, while the second part is devoted to maritime surveillance applications. Each chapter covers the basic principles, a critical review of the current technology, techniques and applications, and the latest developments in the field.

This book covers the latest developments in radar micro-Doppler signatures and non-cooperative recognition of moving targets, for researchers and advanced students of radar systems. Micro-Doppler signatures is a very broad topic with applications in healthcare, security and surveillance. Edited by leading researchers in the field, the book consists of a series of chapters with contributions from different groups of authors who are international experts on their topics.

Recently, various algorithms for radar signal detection that rely heavily upon complicated processing and/or antenna architectures have been the subject of much interest. These techniques owe their genesis to several factors. One is revolutionary technological advances in high-speed signal processing hardware and digital array radar technology. Another is the stress on requirements often imposed by defence applications in areas such as airborne early warning and homeland security.

Radar is a key technology in the safety system of a modern vehicle. Automotive radars are the critical sensors in advanced driver-assistance systems, which are used in adaptive cruise control, collision avoidance, blind spot detection, lane change assistance, and parking assistance.

Synthetic aperture radar and inverse synthetic aperture radar (SAR/ISAR) images have been largely used for monitoring small to large areas and more specifically for target recognition/identification. However, the technology has limitations due to the use of classical monostatic, single channel, single frequency and single polarization systems. To overcome these limitations, solutions have been proposed that show the benefit of using multiple frequencies, spatial channels, polarisations and perspective, in one word multi-dimensional radar imaging systems when dealing with non-cooperative targets.

Increasing the performance of radar imaging systems will directly improve the effectiveness of automatic target recognition (ATR) systems. New ideas and solutions have been proposed in the recent NATO SET-250 Research Task Group (RTG) on multi-dimensional radar imaging, which initiated its activities in March 2017 and concluded them in October 2021. The goal of the SET-250 was to further develop systems and algorithms by using radar systems with extended dimensionality, such as multi-frequency, multi-polarisation and multi-view/multi-pass.

This book is devoted to target detection in a class of radar systems referred to as passive multistatic radar. This system is of great interest in both civilian and military scenarios due to many advantages. First, this system is substantially smaller and less expensive compared to an active radar system. Second, the multistatic configuration improves its detection and classification capabilities. Finally, there are many signals available for passive sensing making them hard to avoid.