Data fusion algorithm for the Vessel Traffic Services system: a fuzzy associative system approach

摘要

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)