Data fusion algorithm for the Vessel Traffic Services system: a fuzzy associative system approach
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Authors
Ruthenberg, Thomas M.
Subjects
Advisors
Tummala, Murali
Date of Issue
1995-03
Date
March 1995
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
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)
Type
Thesis
Description
Series/Report No
Department
Electrical Engineering
Organization
Identifiers
NPS Report Number
Sponsors
Funding
NA
Format
95 p.
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.