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首页> 外文期刊>Journal of Computational Physics >Nonstationary phase boundary estimation in electrical impedance tomography using unscented Kalman filter
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Nonstationary phase boundary estimation in electrical impedance tomography using unscented Kalman filter

机译：使用Unscented Kalman滤波器电阻抗断层扫描中的非间断相位边界估计

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In this paper, an effective nonstationary phase boundary estimation scheme in electrical impedance tomography is presented based on the unscented Kalman filter. 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 unscented Kalman filter. This research targets the industrial applications, such as imaging of stirrer vessel for detection of air distribution or detecting large air bubbles in pipelines. Within the domains, there exist "voids" having zero conductivity. The design variables for phase boundary estimation are truncated Fourier coefficients. Computer simulations and experimental results are provided to evaluate the performance of unscented Kalman filter in comparison with extended Kalman filter to show a better performance of the unscented Kalman filter approach. (c) 2008 Published by Elsevier Inc.
机译：在本文中，基于Unscented Kalman滤波器呈现了电阻抗断层扫描中的有效非间平相位边界估计方案。 逆变问题被视为随机相位边界（状态）的随机非线性状态估计问题，借助于Unscented Kalman滤波器估计。 该研究靶向了工业应用，例如搅拌器容器的成像，用于检测空气分布或检测管道中的大气泡。 在域内，存在具有零电导率的“空隙”。 相位边界估计的设计变量是截断的傅里叶系数。 提供计算机仿真和实验结果，以评估UndEnted Kalman滤波器的性能与扩展卡尔曼滤波器相比，显示了未入的卡尔曼滤波器方法的更好性能。 （c）2008由elsevier公司发布

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