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EN
Detection of small crafts/targets, in particular, sailing yachts with the ship's radar is not always possible. Radar reflectors are used to improve their detection. The AIS (Automatic Identification System) transmits position, motion vector and identification signals of a vessel to other ships and VTS (Vessel Traffic Services) centers . This system significantly increases the possibility to detect small crafts. The paper presents results of comparative study of using information from the Automatic Identification System and from radar to determine the accuracy of tracking the position and motion vector of ships in the Gulf of Gdansk. Possibilities and limitations of the AIS are also presented.
EN
The radar with the function of automatic target tracking is the navigator’s basic aid in estimating a collision situation with regard to his own vessel. The quality of radar tracking process affects the reliability of data provided to the navigator for situation assessment, including the vessel’s safety. The use of artificial intelligence methods (GRNN network in particular) for this purpose permits a decrease of tracking errors and the shortening of delay of the vector presented in relation to real time. The article presents an algorithmic depiction of radar tracking by means of GRNN-based neural filter. There have been presented a filter diagram, an algorithm of GRNN parameter selection, manoeuvre detection, as well as the process of radar tracking by means of this filter.
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