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
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;
Conference_Titel :
Radar Symposium (IRS), 2012 13th International
Conference_Location :
Warsaw
Print_ISBN :
978-1-4577-1838-0
DOI :
10.1109/IRS.2012.6233383