Radar Detection Theory of Sliding Window Processes

Author:   Graham Weinberg (Defence Science and Technology Group (DSTG), Australia)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367781880


Pages:   400
Publication Date:   31 March 2021
Format:   Paperback
Availability:   In Print   Availability explained
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Radar Detection Theory of Sliding Window Processes


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Overview

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.

Full Product Details

Author:   Graham Weinberg (Defence Science and Technology Group (DSTG), Australia)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9780367781880


ISBN 10:   0367781883
Pages:   400
Publication Date:   31 March 2021
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction to Non-coherent Detection. Statistical Structures for Radar Detection. Developed Detection Theory. Constant False Alarm Rate Detection. Advances in X-Band Application. Examples of Performance.

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Author Information

Graham V. Weinberg completed his B.S. and Ph.D. degrees at the University of Melbourne, Australia. His doctoral thesis examined distributional approximations of stochastic processes using the Stein-Chen method. After a short period in telecommunications research at the University of Adelaide, he joined Defence Science and Technology Group, Australia. In the capacity of a scientist, he has undertaken research into radar detection issues arising from airborne high resolution X-band maritime surveillance platforms. To further continue his professional development, he has also completed a Master’s degree in signal and information processing through the University of Adelaide, Australia. His research interests include CFAR, coherent multi-look radar detection and the mathematics of radar signal processing. He has published extensively and is a member of the Institution of Engineering and Technology (IET), UK.

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