Analysis of Nondeterministic Search Patterns for Minimization of UAV Counter-Targeting

Abstract

In an attempt to mitigate the expanding counter-UAV capabilities of adversary countries developed in response to the United States increased reliance on these platforms, we apply a nondeterministic search pattern to a finite area searcher. By implementing a Levy distribution on search leg lengths we analyze the trade-offs between efficiency and evasiveness of the searcher, comparing the expected time to target detection for a given set of Levy parameters to a probabilistic time to counter-targeting based on intelligence driven enemy capability. The culmination of this thesis is the development of a robust simulation tool, capable of modeling various parameters on both searcher and search area, the output of which is a quantifiable estimate on the probability of mission success.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2013
Accession Number
ADA580750

Entities

People

  • Timothy S. Stevens

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Birds
  • Climate Change
  • Directed Energy Weapons
  • Fixed Wing Aircraft
  • Geometry
  • Grids
  • Military Operations
  • Operations Research
  • Probabilistic Models
  • Probability Distributions
  • Random Variables
  • Reconnaissance
  • Spreadsheet Software
  • Surveillance
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Computational Modeling and Simulation
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Autonomy
  • Autonomy - UAVs