Title :
A comparison of the target tracking in marine navigational radars by means of GRNN filter and numerical filter
Author :
Stateczny, Andrzej ; Kazimierski, Witold
Author_Institution :
Fac. of Comput. Sci. & Inf. Syst., Tech. Univ. of Szczecin, Szczecin
Abstract :
The article presents research results on the application of artificial GRNN neural network in the process of radar tracking in marine navigational radars. A comparison has been presented of the tracking process by means of a numerical filter implemented in a real radar device and a neural filter prepared by the authors. The test situation was registered on a real vessel and next introduced into a simulator estimating the vector of target movement by means of a GRNN filter. Results have been presented for various GRNN filters.
Keywords :
filtering theory; marine radar; navigation; neural nets; target tracking; GRNN filter; general regression neural network; marine navigational radars; numerical filter; target tracking; Education; Filters; Information filtering; Navigation; Neural networks; Neurons; Radar applications; Radar tracking; Smoothing methods; Target tracking; maritime radars; neural networks; vector state estimation;
Conference_Titel :
Radar Conference, 2008. RADAR '08. IEEE
Conference_Location :
Rome
Print_ISBN :
978-1-4244-1538-0
Electronic_ISBN :
1097-5659
DOI :
10.1109/RADAR.2008.4721044
