Coupled Detection Rates: An Introduction

Abstract

The case of two cooperative searchers is examined, and the effect of cueing on the probability of target detection is derived from first principles using a Markov chain analysis. There are two main results: first, that the effect of cueing can be quantified, and second, that there is an upper bound on the benefit of cueing. Both results are presented in closed form. The joint probability of detection for two independent searchers is derived from Koopman's formula for a single searcher, and is shown to be a special case of one of the results in this paper. Extensions of the model are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2005
Accession Number
ADA437793

Entities

People

  • David E. Jeffcoast

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Detection
  • Differential Equations
  • Equations
  • Governments
  • Kolmogorov Equations
  • Magnetic Resonance
  • Markov Chains
  • Markov Processes
  • Mathematics
  • Military Research
  • Operations Research
  • Probability
  • Steady State
  • Target Detection

Readers

  • Sensor Fusion and Tracking Systems.
  • Theoretical Analysis.