Nonstationary phase boundary estimation in electrical impedance tomography based on the interacting multiple model scheme

被引：11
作者：
Kim, Bong Seok [1 ]
Ijaz, Umer Zeeshan
Kim, Jeong Hoon
Kim, Min Chan
Kim, Sin
Kim, Kyung Youn
机构：
[1] Jeju Natl Univ, Dept Elect & Elect Engn, Cheju 690756, South Korea
[2] Jeju Natl Univ, Dept Chem Engn, Cheju 690756, South Korea
[3] Jeju Natl Univ, Dept Nucl & Energy Engn, Cheju 690756, South Korea
来源：
MEASUREMENT SCIENCE AND TECHNOLOGY | 2007年 / 18卷 / 01期
关键词：
phase boundary estimation; dynamic electrical impedance tomography; interacting multiple model; extended Kalman filter;
D O I：
10.1088/0957-0233/18/1/008
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, an effective nonstationary phase boundary estimation scheme in electrical impedance tomography (EIT) is presented based on the interacting multiple model (IMM) algorithm. The inverse problem is treated as a stochastic nonlinear state estimation problem with the nonstationary phase boundary (state) being estimated online with the aid of the IMM algorithm. In the design of the IMM algorithm multiple models with different process noise covariances are incorporated to improve estimation performance in spite of the modelling uncertainty. Computer simulations are provided to illustrate the proposed algorithm.
引用
收藏
页码：62 / 70
页数：9
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