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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Bibliographic Details
Main Author: Weinberg, Graham V. (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton : Taylor and Francis, CRC Press, [2017]
Subjects:
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.