A Fuzzy Associative Data Fusion Algorithm for VTS
Interim rept. 1 Jan-30 Sep 97
NAVAL POSTGRADUATE SCHOOL MONTEREY CA DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
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An algorithm to fuse redundant observations due to multiple sensor coverage, in order to reduce duplicate track information provided to Vessel Traffic Services VTS operator displays, is reported. The algorithm receives inputs from multiple sensors as long as the basic decision criteria elements are provided. The algorithm is tested with real data collected from the VTS system at Puget Sound in September 1996. The results indicate that the algorithm correctly fuses redundant sensor observations on the same vessel resulting in a significant reduction in the amount of unnecessary information presented to the VTS operator.
- Marine Engineering
- Active and Passive Radar Detection and Equipment