DocumentCode :
3462800
Title :
Target Tracking with Recurrent Artificial Neural Network
Author :
Juszkiewicz, Wieslaw
Author_Institution :
Maritime University of Szczecin, Waly Chrobrego 1-2, 70-500 Szczecin, POLAND. e-mail: wjusz@am.szczecin.pl
fYear :
2006
fDate :
24-26 May 2006
Firstpage :
1
Lastpage :
4
Abstract :
Numerical methods of traffic estimation used in ARPA devices make it possible to obtain stable and accurate information on tracked targets. It should be stressed, however, that these methods are time-consuming and involve complex calculations. An alternative might be provided by the application of artificial neural networks with feedback in the estimation process.
Keywords :
Artificial neural networks; Education; Filters; Filtration; Neurofeedback; Radar measurements; Radar tracking; State estimation; Target tracking; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Symposium, 2006. IRS 2006. International
Conference_Location :
Krakow, Poland
Print_ISBN :
978-83-7207-621-2
Type :
conf
DOI :
10.1109/IRS.2006.4338062
Filename :
4338062
Link To Document :
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