Multilevel Data Association for the Vessel Traffic Services System and the Joint Maritime Command Information System.

Abstract

This thesis develops an algorithm to fuse redundant observations due to multiple sensor coverage of a vessel. Fuzzy membership functions are used as a measure of correlation, and a fuzzy associative system determines which observations represent the same vessel. The result is a computationally efficient algorithm. The output of the system is a unique set of vessels identified by unique platform identifiers. Results of tests based on computer simulation of overlapping radar coverage show that the fusion algorithm correctly correlates and fuses the sensor observations. That the VTS system is a subset of the Joint Maritime Command Information System (JMCIS) and ultimately the Global Command and Control Software (GCCS) system makes this algorithm pertinent not only to the US Coast Guard, but also to the US Navy, DOD and other agencies such as the Canadian Navy that use this software.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1995
Accession Number
ADA306011

Entities

People

  • Ian N. Glenn

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Coast Guard
  • Command And Control
  • Command And Control Systems
  • Computers
  • Data Association
  • Data Fusion
  • Databases
  • Detection
  • Detectors
  • Global Positioning Systems
  • Grids
  • Information Science
  • Information Systems
  • Simulations
  • Target Tracking

Fields of Study

  • Computer science

Readers

  • Joint Military Operations and Doctrine.
  • Maritime Security/Maritime Homeland Security
  • Neural Network Machine Learning.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control