DocumentCode
2888053
Title
High Maneuver Target Tracking Based on Combined Kalman Filter and Fuzzy Logic
Author
Bahari, Mohamad Hasan ; Karsaz, A. ; Khaloozadeh, H.
Author_Institution
Ferdowsi Univ. of Mashhad, Mashhad
fYear
2007
fDate
12-14 Feb. 2007
Firstpage
59
Lastpage
64
Abstract
In this paper, a new combined scheme is presented to overcome some drawbacks of the high maneuvering target tracking problems by using the mixed fuzzy logic and the standard Kalman filter. This scheme is consist of two important aspects; at first absolute value of difference between last target course and the present observation target course and the second aspect is the absolute value of measurement residual. The results compared with the augmented method and another combined fuzzy logic method which have been reported respectively. Simulation results show a high performance of the proposed innovation method and effectiveness of this scheme in high maneuvering targets tracking problems.
Keywords
Kalman filters; fuzzy logic; target tracking; tracking filters; Kalman filter; fuzzy logic; high maneuver target tracking problem; innovation method; Acceleration; Accelerometers; Bayesian methods; Filters; Fuzzy logic; Predictive models; Radar tracking; Recursive estimation; State estimation; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Decision and Control, 2007. IDC '07
Conference_Location
Adelaide, Qld.
Print_ISBN
1-4244-0902-0
Electronic_ISBN
1-4244-0902-0
Type
conf
DOI
10.1109/IDC.2007.374526
Filename
4252478
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