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...
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| Format: | eBook |
| Language: | English |
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Boca Raton :
Taylor and Francis, CRC Press,
[2017]
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 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.