http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Radar detection theory of sliding window processes
"Constant false alarm rate detection processes are important in radar signal processing. Such detection strategies are used as an alternative to optimal Neyman-Pearson based decision rules, since they can be implemented as a sliding window process running on a radar range-Doppler map. This book examines the development of such detectors in a modern framework. With a particular focus on high resolution X-band maritime surveillance radar, recent approaches are outlined and examined. Performance is assessed when the detectors are run in real X-band radar clutter. The book introduces relevant mathematical tools to allow the reader to understand the development, and follow its implementation."--Provided by publisher.
Cover ; Half Title ; Title ; Copyrights ; Dedication ; Preface ; Acknowledgements ; Contents ; List Of Figures ; List Of Tables.
Acronyms And Symbols Section I. Preliminaries; Chapter 1. Introduction; 1.1 Purpose ; 1.2 Sliding Window Detectors ; 1.3 Range-time Intensity Example.
1.4 Historical Development 1.5 Mathematical Formulation ; 1.6 Detectors In Exponentially Distributed Clutter.
1.7 Some Fundamental Concepts 1.8 Structure Of The Book ; Chapter 2. Probability And Distribution Theory For Radar Detection; 2.1 Outline ; 2.2 Fundamentals Of Probability.
2.3 Transformations 2.4 Moments ; 2.5 Inequalities ; 2.6 Jointly Distributed Random Variables ; 2.7 Conditional Distributions.
Graham V. Weinberg, Department of Defence, Defence Science and Technology Group, Surveillance and Reconnaissance Systems, Edinburg, South Australia, Australia.
Includes bibliographical references and index.
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. WlAbNL
Boca Raton : Taylor & Francis, CRC Press, [2017]