A Microcomputer Simulation Program to Model Transient and Steady-State Detection of an Evading Submarine by a Searching Submarine in a False Transient Environment

Abstract

This thesis describes the development and demonstrates the use of SUBTRAN, a submarine transient detection computer simulation model. SUBTRAN provides, at the microcomputer level, a framework that can be used to investigate how transient detection and false transient detection opportunities affect the expected time to steady-state (continuous) detection. Monte Carlo methods are employed to simulate a submarine versus submarine passive acoustic detection search scenario. The scenario terminates when steady-state detection occurs. Detection is modeled using a signal excess threshold crossing model. Random fluctuations in the acoustic signal excess are modeled using a Lambda- Sigma Jump process. Both submarines assumed to have a fixed speed and are constrained within a defined search area. The target submarine is assumed to be unable to counter-detect the searching submarine. Transient signals and false transient signals are determined by independent Poisson processes. Summary statistics for the times to detection are provided as output of the simulation. Keywords: SUBTRAN; Computer program; Validation; Passive detection.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA201862

Entities

People

  • J. B. Kratovil

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustic Detection
  • Acoustic Signals
  • Classification
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computer Simulations
  • Computers
  • Detection
  • Information Science
  • Mathematical Models
  • Monte Carlo Method
  • Personal Computers
  • Simulations
  • Statistical Analysis
  • Statistics
  • Steady State

Fields of Study

  • Engineering

Readers

  • Maritime and Naval Warfare Studies
  • Sensor Fusion and Tracking Systems.
  • Statistical inference.