Adaptive filtering algorithms in target tracking applications | Zendy

Igor Jovandic | Zendy; Željko Djurović | Zendy; Branko Kovačević | Zendy

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Adaptive filtering algorithms in target tracking applications

Author(s) -

Igor Jovandic,

Željko Djurović,

Branko Kovačević

Publication year - 2003

Publication title -

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.

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