Integrating Unmanned Aerial Vehicles into Surveillance Systems in Complex Maritime Environments

Abstract

One of the most important missions all Navies have is to constantly and sufficiently monitor their area of responsibility. This task becomes more challenging when a surveillance system operates in a complex environment with high traffic of merchant and fishing vessels and the existence of many islands. Potential tactics that targets might use increase the difficulty of this task. Integrating Unmanned Aerial Vehicles (UAVs) into a surveillance system that consists of ground radars and surface ships might enhance the system's capabilities and mitigate its vulnerabilities. In this study, the extremely complex maritime environment of the Aegean Sea is modeled in the Map Aware Non Uniform Automata (MANA) agent-based simulation environment to explore the effectiveness of UAVs in those conditions. The results from almost 100,000 simulated Intelligence, Surveillance, and Reconnaissance missions are analyzed using descriptive statistics, ANOVA, stepwise regression, and partition trees. It was found that by integrating one or two UAVs into a traditional surveillance system, it becomes more efficient in the detection and persistent surveillance of enemies and neutral targets. The most important factors that affect the surveillance system's performance are the detection capabilities of its sensors, the communication accuracy, and the enemy's counter-detection capability. Thus, Greece and other countries with similar geographical characteristics should deploy UAVs in a maritime surveillance role.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2013
Accession Number
ADA589494

Entities

People

  • Georgios Dimitriou

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • Cyber
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Aircrafts
  • Control Systems
  • Experimental Design
  • Ground Control Stations
  • Information Science
  • Marine Transportation
  • Military Science
  • National Security
  • Naval Operations
  • Radar
  • Reconnaissance
  • Surveillance
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Warfare

Readers

  • Maritime and Naval Warfare Studies
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - UAVs