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
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;
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
DOI :
10.1109/IDC.2007.374526