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Sequential Detection

Sequential Detection

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In this chapter the number of observations required for a decision is a function of the test results obtained after each observation. Thus, the test length is a random variable; this is the principal distinguishing characteristic of sequential detection.

Chapter Contents:

  • 16.1 Introduction
  • 16.2 Notion of a Sequential Test
  • 16.3 The Operating Characteristic Function (OCF)
  • 16.4 The Average Sample Number (ASN)
  • 16.5 Coherent Detection in White Gaussian Noise
  • 16.6 Coherent Detection in Colored Gaussian Noise
  • 16.7 Wald's Fundamental Identity
  • 16.8 The Characteristic Function of n
  • 16.9 The Distribution of n for the Coherent Detector
  • 16.10 Some Remarks on the PDF of n
  • 16.11 ASN for Incoherent Detection of Signals of Unknown Phase
  • 16.12 The Need for Truncation
  • 16.13 Application of Sequential Detection to a Multiple-Resolution-Bin Radar
  • 16.14 Analogue Marcus and Swerling Test
  • 16.15 Binomial Marcus and Swerling Test
  • 16.16 Average Loss Formulation
  • 16.17 Two-Step Sequential Detection
  • Problems
  • References

Inspec keywords: radar detection

Other keywords: sequential detection; radar detection

Subjects: Signal detection; Radar theory

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