Distributed Data Fusion and Maritime Domain Awareness for Harbor Protection

Abstract

Protecting a harbor against intentional and accidental threats is extremely difficult. Harbors are not closed systems. Rather, they are focal points for the movement of people and cargo, both in land and on water. As such, threats can arise from many sources that range from the smuggling of illegal and dangerous goods to the placement of mines to damage or destroy shipping. To detect the many different types of threats, a harbor must be monitored by multiple sensing systems with different sensing modalities. To be practical, such a large sensing system must be cost effective to install, can be readily upgraded, and should be robust to sensor and communication failures. In this chapter we discuss the role that distributed data fusion can play in harbor protection. We define and discuss distributed data fusion algorithms and illustrate how they could be used in port surveillance and Maritime Domain Awareness applications. Distributed data fusion, harbor security, maritime domain awareness, distributed operations

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2006
Accession Number
ADA638048

Entities

People

  • Ranjeev Mittu
  • Simon J. Julier

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computer Science
  • Data Fusion
  • Department Of Defense
  • Detection
  • Detectors
  • Identification Systems
  • Information Processing
  • Information Systems
  • Laser Radar
  • Maritime Domain Awareness
  • Military Research
  • Network Topology
  • Security
  • Signal Processing
  • Surveillance
  • Unmanned Aerial Vehicles

Readers

  • Maritime Security/Maritime Homeland Security
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design