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.
chapter Section I. Preliminaries -- chapter 1 Introduction -- chapter 2 Probability And Distribution Theory For Radar Detection -- chapter 3 Distributions For X-band Maritime Surveillance Radar Clutter -- chapter Section II. Fundamental Detection Processes -- chapter 4 Adaptation Of Exponential Detectors To Pareto Type I -- chapter 5 A Transformation Approach For Radar Detector Design -- chapter 6 Modified Minimum Order Statistic Detector -- chapter 7 Dual Order Statistic Cfar Detectors -- chapter 8 2The Log-t Detector -- chapter Section III. Specialised Developments -- chapter 9 Switching Based Detectors -- chapter 10 Developments In Binary Integration -- chapter 11 Detection In Range Correlated Clutter -- chapter Section IV. Further Concepts -- chapter 12 1Introduction285 12.2Group Theory Basics -- chapter 13 2Problem Specification -- part Appendices -- chapter A Neyman-pearson Lemma -- chapter B Ca- And Os-cfar In Exponentially Distributed Clutter -- chapter C Radar Cross Section And Target Models -- chapter D Classical Non-coherent Integrators -- chapter E Ideal Detectors.
Graham V. Weinberg, Department of Defence, Defence Science and Technology Group, Surveillance and Reconnaissance Systems, Edinburg, South Australia, Australia.