DATA FUSION ALGORITHM FOR THE VESSEL TRAFFIC SERVICES SYSTEM. A FUZZY ASSOCIATIVE SYSTEM APPROACH

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.

  • Corporate Authors:

    Naval Postgraduate School

    1 University Circle
    Monterey, CA  United States  93943
  • Authors:
    • Ruthenberg, T M
  • Publication Date: 1995-3

Language

  • English

Media Info

  • Pagination: 109 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00729863
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 4 1997 12:00AM