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Adaptive parameters for tracking filters innovation system
Author(s) -
Chun-Mu Wu
Publication year - 2016
Publication title -
advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
eISSN - 1687-8140
pISSN - 1687-8132
DOI - 10.1177/1687814016629350
Subject(s) - tracking (education) , adaptive filter , control theory (sociology) , filter (signal processing) , computer science , kernel adaptive filter , identification (biology) , position (finance) , tracking system , prototype filter , filter design , algorithm , artificial intelligence , computer vision , psychology , pedagogy , botany , control (management) , finance , economics , biology
One of the most important parts in target tracking is the filter algorithm. In the practical engineering, α-β-γ and α-β-γ-δ filters are often applied due to its simpler arithmetic operations. An improved α-β-γ and α-β-γ-δ filters based on parameter identification are proposed to search suitable parameter values at every time step. The tracking errors between the α-β-γ-δ and α-β-γ filters are compared. The results show that the adaptive parameter of the α-β-γ-δ filter exhibits significant improvement in position tracking accuracy over the adaptive parameter of the α-β-γ filter. The simulation results demonstrate that the adaptive parameters of the α-β-γ and α-β-γ-δ filters have better tracking capabilities and good real-time performances

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