DocumentCode
2534408
Title
Verification of multiple model neural tracking filter with ship´s radar
Author
Kazimierski, Witold ; Zaniewicz, Grzegorz ; Stateczny, Andrzej
Author_Institution
Fac. of Navig., Maritime Univ. of Szczecin, Szczecin, Poland
fYear
2012
fDate
23-25 May 2012
Firstpage
549
Lastpage
553
Abstract
The paper presents the research focused on verification of multiple model neural filter in real environment. The filter is a result of the works in the research project and is implemented as a software application. The application is then connected to real radar making the off-line verification possible. The filter was checked against IMO requirements and was compared to other commercially used filters. Estimation errors and delay was the basis for the verification. Achieved results show that proposed solution might be an interesting alternative for numerical filters.
Keywords
filters; marine radar; radar tracking; IMO; delay errors; estimation errors; multiple model neural tracking filter; numerical filters; off-line verification; ship radar; software application; Estimation; Kalman filters; Maximum likelihood detection; Nonlinear filters; Radar tracking; Target tracking; GRNN; marine radar; neural networks; radar tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Symposium (IRS), 2012 13th International
Conference_Location
Warsaw
ISSN
2155-5754
Print_ISBN
978-1-4577-1838-0
Type
conf
DOI
10.1109/IRS.2012.6233383
Filename
6233383
Link To Document