A comparison of the target tracking in marine navigational radars by means of GRNN filter and numerical filter
Andrzej Stateczny, Witold Kazimierski · 2008
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.