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ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

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Associate Editor
Tomasz Neumann
 

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TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@am.gdynia.pl
The Process of Radar Tracking by Means of GRNN Artificial Neural Network with Dynamically Adapted Teaching Sequence Length in Algorithmic Depiction
1 Maritime University of Szczecin, Szczecin, Poland
ABSTRACT: 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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Citation note:
Stateczny A., Kazimierski W.: The Process of Radar Tracking by Means of GRNN Artificial Neural Network with Dynamically Adapted Teaching Sequence Length in Algorithmic Depiction. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 2, No. 1, pp. 45-50, 2008
Authors in other databases:
Andrzej Stateczny:
Witold Kazimierski: Scopus icon24829115600 Scholar iconX7m2hjsAAAAJ

Other publications of authors:


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