Open AccessAdaptive filtering algorithms in target tracking applications
Author(s) -
Igor Jovandic,
M Zeljko Djurovic,
Darko Kovačević
Publication year - 2003
Publication title -
facta universitatis. series electronics and energetics/facta universitatis. series: electronics and energetics
Language(s) - English
Resource type - Journals
eISSN - 2217-5997
pISSN - 0353-3670
DOI - 10.2298/fuee0303317j
Subject(s) - algorithm , dimension (graph theory) , tracking (education) , computer science , noise (video) , trajectory , variable (mathematics) , adaptive filter , mathematics , artificial intelligence , psychology , mathematical analysis , pedagogy , physics , astronomy , pure mathematics , image (mathematics)
Comparison of several target tracking algorithms is presented. Namely discrete noise level adjustment (DNLA), variable state dimension (VSD) and interacting multiple model (IMM) algorithms are discussed. Target trajectory, target models, filtering algorithms and simulation results are given. The cumulative estimation error criterion is used in order to compare the algorithms.