Adaptive Fuzzy Logic Online Associative Tracker for the Recognized Maritime Picture: Algorithm Development

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Authors
  1. Lefebvre, E.
Corporate Authors
Lockheed Martin Canada Inc, Montreal QUE (CAN);Defence R&D Canada - Ottawa, Ottawa ONT (CAN)
Abstract
This report presents the Adaptive Fuzzy Logic Online Associative Tracker (AFLOAT) software, which performs data fusion and allows editing and visualization of contact messages. AFLOAT uses the fuzzy logic technique in a clustering technique to associate contact reports with tracks. A genetic algorithm is also involved for track modelling. This software prototype includes fusion of information from sensor sources with non-sensor information. Sensor information, which is composed of contact reports, is modelled into tracks while non-sensor information is modelled into templates. Templates represent information known about ship behaviour. Both sensor and non-sensor information have uncertainties that should be taken into account when performing fusion. The report briefly explains the basic fuzzy logic technique and describes the algorithm used to correlate contact reports with tracks, then tracks with templates.

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Keywords
Maritime Intelligence, Surveillance, and Reconnaissance (MISR);Maritime Operations Centres (MOC) – TRINITY and ATHENA;US DoD Common Operating Environment (COE);Atlantic Littoral Experiment (ALIX);Track Fusion;RMP Processes;Data Fusion;Track Fusion;Fuzzy Logic;Genetic Algorithm;Sensor Integration;Information Fusion;Data Association;RMP (Recognized Maritime Picture);COE (Common Operating Environment);GCCS-M (Global Command and Control System - Maritime)
Report Number
DRDC-OTTAWA-CR-2006-196 — Contractor Report
Date of publication
01 Oct 2006
Number of Pages
97
DSTKIM No
CA028937
CANDIS No
527126
Format(s):
CD ROM

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