Title :
Determining manoeuvre detection threshold of GRNN filter in the process of tracking in marine navigational radars
Author :
Stateczny, Andrzej ; Kazimierski, Witold
Author_Institution :
Szczecin Univ. of Technol., Szczecin
Abstract :
The article presents the results of simulation research aimed at determining the manoeuvre detection threshold of a neuron filter, based on GRNN artificial neural network. The structure of a filter has been presented, from which the necessity of manoeuvre detection results and a detector has been described able to be used in this case; it is based on an analysis of course and speed increase in particular estimation steps. The research was performed by the Monte Carlo method for 100 independent simulations.
Keywords :
Monte Carlo methods; marine radar; neural nets; radar detection; radar tracking; radionavigation; tracking filters; Monte Carlo method; artificial neural network; general regression neural network filter; manoeuvre detection threshold; marine navigational radar tracking; neuron filter; Artificial neural networks; Detectors; Education; Filters; Navigation; Radar detection; Radar tracking; Smoothing methods; Statistical analysis; Target tracking;
Conference_Titel :
Radar Symposium, 2008 International
Conference_Location :
Wroclaw
Print_ISBN :
978-83-7207-757-8
DOI :
10.1109/IRS.2008.4585757
