Bøger i Radar, Sonar and Navigation serien

This book presents a comprehensive tutorial exposition of radar detection using the methods and techniques of mathematical statistics. The material presented is as current and useful to today's engineers as when the book was first published by Prentice-Hall in 1968 and then republished by Artech House in 1980. The book is divided into six parts. Part I is introductory and describes the nature of the radar detection problem. Part II reviews the mathematical tools necessary for a study of detection theory. Part III contains tutorial expositions in a radar context of the classical signal-to-noise and a posteriori theories, both of which have played important roles in the evolution of modern radar. The unifying theme of the book is provided by statistical decision theory, introduced in the last chapter of Part III, which provides the framework for the chapters that follow. The first three chapters of Part IV contain a unified tutorial exposition of single and multiple hit detection theory. The last two chapters are respectively devoted to the use of the radar equation and a discussion of cumulative detection probability. The latter includes a procedure for minimizing the power-aperture product of a search radar. The performance of near-optimum multiple hit detection strategies are considered in Part V. These include binary and pulse train detection strategies. The first chapter in Part VI applies sequential detection theory to the radar detection problem. It includes the Marcus and Swerling test strategy and a two-step approximation to sequential detection. The second chapter contains the development of Bayes decision rules and Bayes receivers for optimizing the detection of multiple targets with unknown parameters, such as range, velocity, angle, etc.

This comprehensive discussion of airborne early warning (AEW) system concepts encompasses a wide range of issues, including capabilities and limitations, developmental trends and opportunities for improvement.

A fully updated and revised new edition, providing an authoritative account of our current understanding of radar sea clutter.

This postgraduate text focuses on novel transmission strategies as a way to improve performance in a variety of civil, defence and homeland security applications. It will also be of interest to R&D engineers in companies specialising in applications of radar signal processing.

The definitive book on bistatic radar provides a history of bistatic systems and alerts potential designers to non-working applications and dead-ends. While reviewing basic concepts and definitions, the text explains mathematical development of relationships such as geometry, Ovals of Cassini, dynamic range, isorange and isodoppler contours, and clutter doppler spread.

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 presents a systematic introduction to airborne MTI (moving target indication) system design for use in the fields of earth observation, surveillance and reconnaissance, with particular regard to the suppression of clutter returns. New developments in the field and special aspects of airborne MTI radar are also covered.

This book provides an overview of the radar target recognition process and covers the key techniques being developed for operational systems.

Radar Principles for the Non-specialist, 3rd Edition continues its popular tradition: to distil the very complex technology of radar into its fundamentals, tying them to the laws of nature on one end and to the most modern and complex systems on the other.

This book provides a complete discussion of the Gauss-Newton filters, including all necessary theoretical background. This book also covers the expanding and fading memory polynomial filters based on the Legendre and Laguerre orthogonal polynomials, and how these can serve as pre-filters for Gauss-Newton.

This book introduces a new framework which addresses the problem of radar imaging and target recognition as it jointly looks at optimising the use of multiple channels to significantly outperform classical radar imaging systems. It has been used in the military within NATO for the last few years and the technology is now declassified.

This book is devoted to the description of optimum signal processing algorithms which can offer useful applications in radar systems.