Approximating the Poisson Scan and (lambda-sigma) Acoustic Detection Model with the Random Search Formula

Abstract

In this study, the author develops a MATLAB simulation of area search with acoustic sensors modeled by the Poisson Scan model and the Lambda-Sigma model. Detection time results are compared to those given by the much simpler Random Search formula. Random Search was found to closely approximate the more complex models if detection range was selected correctly. Guidelines for selecting the Random Search detection range were developed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2009
Accession Number
ADA514275

Entities

People

  • Kangmin Kim

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detection
  • Acoustic Detectors
  • Algorithms
  • California
  • Detection
  • Detectors
  • Figure Of Merit
  • National Security
  • Passive Sonar
  • Probability
  • Random Variables
  • Simulations
  • Sonar
  • Stochastic Processes
  • Transmission Loss
  • United States
  • War Colleges

Readers

  • Acoustical Oceanography.
  • Computational Modeling and Simulation
  • Mathematical Modeling and Probability Theory.