Data Fusion Algorithm for the Vessel Traffic Services System. A Fuzzy Associative System Approach.

Abstract

This thesis develops an algorithm to fuse redundant radar observations caused by multiple radar coverage of a vessel. Additionally, the algorithm automates track history and improves position accuracy by incorporating differential Global Positioning System (GPS) reports. The algorithm uses fuzzy membership functions as a measure of correlation and a fuzzy associative system to determine which observations represent the same vessel. The use of the fuzzy associative system produces a computationally efficient algorithm. A track correlation technique is used to automate the track history thereby reducing operator workload. Results of tests based on computer simulation show that the fusion algorithm correctly correlates and fuses the radar observations. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1995
Accession Number
ADA300458

Entities

People

  • Thomas M. Ruthenberg

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Computer Simulations
  • Correlation Techniques
  • Data Fusion
  • Global Positioning Systems
  • Observation
  • Simulations
  • Simulators

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Positioning, Navigation, and Timing (PNT) Technology.
  • Radar Systems Engineering.

Technology Areas

  • Space
  • Space - Space Objects