DocumentCode :
711407
Title :
A new multitarget tracking approach based on a non-iterative fuzzy clustering means algorithm
Author :
Aziz, Ashraf M.
Author_Institution :
Electrical Engineering Department, Faculty of Engineering, AlBaha University, Saudi Arabia
fYear :
2015
fDate :
7-14 March 2015
Firstpage :
1
Lastpage :
10
Abstract :
In this paper, a new multitarget tracking approach is proposed. In the proposed approach, a non-iterative fuzzy clustering means algorithm is used to generate the association measures between the received measurements and the targets. Measurements-to-tracks associations are computed jointly across all targets and all validated measurements using the non- iterative fuzzy clustering means algorithm. For a given target, the validated measurement that has the maximum fuzzy association weight is used for updating the state of the target. The performance of the proposed approach is evaluated and compared to that of the standard nearest-neighbor association and conventional fuzzy logic data association approaches. The results show that the proposed tracking approach achieves better performance compared to the standard tracking approach and the conventional fuzzy tracking approaches.
Keywords :
Correlation; Fuzzy logic; Logic gates; Noise; Noise measurement; Target tracking; Weight measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2015 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4799-5379-0
Type :
conf
DOI :
10.1109/AERO.2015.7119236
Filename :
7119236
Link To Document :
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