DocumentCode :
1873000
Title :
A new algorithm based on combined fuzzy logic and Kalman filter for target maneuver detection
Author :
Bahari, M.H. ; Karsaz, A. ; Khaloozadeh, H.
Author_Institution :
Dept. of Electr. Eng., Ferdowsi Univ., Mashhad
fYear :
2006
fDate :
19-21 Jan. 2006
Lastpage :
524
Abstract :
High maneuvering targets normally maneuver on circular paths which have lead to tracking filters on circular turns. In this paper, an innovation technique is presented to combine the tracking-maneuvering target problems using fuzzy logic and augmented Kalman filter. The proposed combined filter is composed of two automatic switching modes: one for the mild maneuver using augmented Kalman filter and the other for the high maneuver using fuzzy acceleration prediction method. It is demonstrated by means of numerical acceleration examples that the tracking capability of the proposed mixed method is essentially as good as that of the augmented method, especially at high maneuver target
Keywords :
Kalman filters; fuzzy logic; target tracking; tracking filters; Kalman filter; automatic switching; combined fuzzy logic; fuzzy acceleration prediction; high maneuvering targets; numerical acceleration; target maneuver detection; tracking filters; tracking-maneuvering target problems; Acceleration; Bayesian methods; Filtering; Filters; Fuzzy logic; Predictive models; Recursive estimation; State estimation; Target tracking; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
Conference_Location :
Harbin
Print_ISBN :
0-7803-9395-3
Type :
conf
DOI :
10.1109/ISSCAA.2006.1627677
Filename :
1627677
Link To Document :
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