A NEW HYBRID WAVELET-KALMAN FILTER METHOD FOR THE ESTIMATION OF DYNAMIC SYSTEM

被引：1

作者：

Wen Chenglin Xie Jin Zhou Funa Wen Chuanbo School of Automation Hangzhou Dianzi University Hangzhou China School of Computer Information Engineering Henan University Kaifeng China Dept of Accounting Guangdong Vocational Institute of Science and Technology Guangzhou China ^{[310018
,475001
,510640
]}

机构：

来源：

JournalofElectronics | 2006年 / 01期

关键词：

D O I：

暂无

中图分类号：

TN713 [滤波技术、滤波器];

学科分类号：

080902 ;

摘要：

<正>A new hybrid wavelet-Kalman filter method for the estimation of dynamic system is developed, Using this method, the real-time multiscale estimation of the dynamic system is implemented, and the observation equation established is for the object signal itself rather than its wavelet decomposition. The simulation results show that this method can be used to estimate the object's state of the stacked system, which is the foundation of multiscale data fusion; besides the performance of the new algorithm developed in the letter is almost optimal.

引用

页码：139 / 143

页数：5