DocumentCode
1752981
Title
Data Association Method Based on Fractal Theory
Author
Wang, Jianhua
Author_Institution
Inst. of Electron. Eng., Harbin Inst. of Technol.
Volume
1
fYear
0
fDate
0-0 0
Firstpage
4289
Lastpage
4292
Abstract
Fractal method is applied to resolve data association of multi-target tracking. G-P algorithm is adopted to calculate correlation dimension of measurement dimension, then measurement space is reconstructed through delay coordinate state space reconstruction method, there exists statistical similarity between reconstructed measurement and target state, relying on such similarity, data association is accomplished. Simulation results indicate that fractal algorithm has faster convergence speed and better tracking precision
Keywords
correlation methods; fractals; genetic algorithms; sensor fusion; signal reconstruction; statistical analysis; target tracking; chaotic optimization; data association; delay coordinate state space reconstruction; fractal algorithm; fractal theory; multiple target tracking; multitarget tracking; tracking precision; Automation; Fractals; Intelligent control; chaotic optimization; data association; fractal theory; multiple targets tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1713184
Filename
1713184
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