Study of electrostatic sensor based on improved Landweber algorithm

ZHAO Shi-na; XUE Qian; LIN Jia-quan

doi:10.13873/j.1000-9787(2017)09-0029-03

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Study of electrostatic sensor based on improved Landweber algorithm

更新时间：2025-09-11

- Study of electrostatic sensor based on improved Landweber algorithm
- Vol. 36, Issue 9, Pages: 29-31(2017)
- 作者机构：
  
  中国民航大学电子信息与自动化学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2017)09-0029-03
  CLC： TP212;TP391.41
- Published：2017
- 稿件说明：
移动端阅览
[1]赵士娜,薛倩,林家泉.基于改进Landweber算法的静电传感器研究[J].传感器与微系统,2017,36(09):29-31.

ZHAO Shi-na, XUE Qian, LIN Jia-quan. Study of electrostatic sensor based on improved Landweber algorithm[J]. 2017, 36(9): 29-31.
[1]赵士娜,薛倩,林家泉.基于改进Landweber算法的静电传感器研究[J].传感器与微系统,2017,36(09):29-31. DOI： 10.13873/j.1000-9787(2017)09-0029-03.

ZHAO Shi-na, XUE Qian, LIN Jia-quan. Study of electrostatic sensor based on improved Landweber algorithm[J]. 2017, 36(9): 29-31. DOI： 10.13873/j.1000-9787(2017)09-0029-03.

摘要

由于静电层析成像信息量少且本身为严重病态导致图像重建分辨率很低

为了提高图像重建质量

提出了一种改进的Landweber图像重建算法。采用线性反投影（LBP）算法重构的图像作为Landweber迭代算法的初始值

再以Landweber算法重构最终图像。仿真实验表明:采用改进的Landweber迭代算法较之单独使用LBP算法和Landweber算法有较好的成像效果

可提高成像精度

较准确地判断管道内电荷的分布情况。

Abstract

Due to ill-posedness and less information of image reconstruction problem in electrostatic tomography（ EST）

the space resolution of the reconstructed image is extremely low. In order to improve the imaging quality

an modified Landweber image reconstruction algorithm is proposed. The reconstructed image by linear back projection（ LBP） algorithm is used as initial value of the Landweber iterative algorithm. Then the final image is reconstructed by the Landweber algorithm. Simulation experiment illustrates that modified Landweber algorithm can obtain satisfied imaging results than LBP algorithm and Landweber algorithm

and improved imaging precision compared with the two algorithms. The distribution of charges in pipeline can be more accurately determined by this way.

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references

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