ECT image reconstruction algorithm based on Kalman filtering

LI Jia; ZHANG Li-feng; TIAN Pei

doi:10.13873/J.1000-9787(2015)08-0128-03

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ECT image reconstruction algorithm based on Kalman filtering

更新时间：2025-09-11

- ECT image reconstruction algorithm based on Kalman filtering
- Vol. 34, Issue 8, Pages: 128-130(2015)
- 作者机构：
  
  华北电力大学自动化系
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)08-0128-03
  CLC： TP391.41
- Published：2015
- 稿件说明：
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[1]李佳,张立峰,田沛.基于Kalman滤波的ECT图像重建算法[J].传感器与微系统,2015,34(08):128-130.

LI Jia, ZHANG Li-feng, TIAN Pei. ECT image reconstruction algorithm based on Kalman filtering[J]. 2015, 34(8): 128-130.
[1]李佳,张立峰,田沛.基于Kalman滤波的ECT图像重建算法[J].传感器与微系统,2015,34(08):128-130. DOI： 10.13873/J.1000-9787(2015)08-0128-03.

LI Jia, ZHANG Li-feng, TIAN Pei. ECT image reconstruction algorithm based on Kalman filtering[J]. 2015, 34(8): 128-130. DOI： 10.13873/J.1000-9787(2015)08-0128-03.

摘要

由于测量环境等因素的影响

实测数据往往带有噪声。为此

应用Kalman滤波算法进行电容层析成像（ECT）系统图像重建

在归一化电容值中加入不同程度的噪声信号

利用噪声的统计特性进行测量值滤波

最终得到图像灰度值。在三种流型下与Landweber迭代算法进行了仿真比较

并在ECT实验装置上进行了静态实验。仿真与实验结果表明:Kalman滤波去噪效果优于Landweber迭代算法。

Abstract

Due to influence of environmental factors

measurement datas often contain noise. For this

Kalman filtering algorithm is applied in electrical capacitance tomography（ ECT） to reconstruct image

add noise signals of different degree in the normalized capacitance value

measured value filtering is carried out using statistical properties of noise

and obtain image gray value finally. Three flow patterns are selected for simulation experiments and compared with Landweber algorithm

and static experiment is carried out using ECT device. Simulation and experimental results show that the denoising effect of Kalman filtering is better than Landweber algorithm.

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references

基于ECT技术的航空发动机尾气监测系统设计 [J]. 马敏,周苗苗,李新建. 传感器与微系统 . 2015(05)

平面式电容传感器阵列测量复合材料技术研究 [J]. 郝魁红,范文茹,马敏,李斌. 传感器与微系统 . 2014(02)

电容层析成像技术应用于冰水两相测试研究 [J]. 姜凡,刘靖,刘石,梁世强,王雪瑶. 中国电机工程学报 . 2010(05)

基于Kalman滤波的电容成像图像重建算法 [J]. 裴珂,彭黎辉,张宝芬. 清华大学学报(自然科学版) . 2005(10)

Identification of oil–gas two-phase flow pattern based on SVM and electrical capacitance tomography technique [J] . Lifeng Zhang,Huaxiang Wang. Flow Measurement and Instrumentation . 2009 (1)

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