Data association method based on fractal theory

被引：0
|
作者：
Wang, Jianhua [1 ]
机构：
[1] Harbin Inst Technol, Inst Elect Engn, Harbin 150001, Peoples R China
来源：
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年
关键词：
data association; chaotic optimization; fractal theory; multiple targets tracking;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：4289 / 4292
页数：4
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