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Vol. 34, No. 8(3), S&M3042

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Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
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Sensors and Materials, Volume 32, Number 10(2) (2020)
Copyright(C) MYU K.K.
pp. 3297-3311
S&M2340 Research Paper
https://doi.org/10.18494/SAM.2020.2952
Published: October 20, 2020

Electrical Impedance Tomography Based on a High-resolution Direction-of-arrival Estimation Algorithm [PDF]

Jun Wen, Guoen Wei, and Xue Xiong

(Received May 29, 2020; Accepted August 12, 2020)

Keywords: EIT, DOA estimation, inverse problem, m-Capon algorithm, high resolution

The combination of artificial intelligence and medical imaging technology is profoundly affecting the development of medical imaging technology. Electrical impedance tomography (EIT) is a noninvasive imaging technology for estimating the internal impedance distribution of a body and is becoming a promising technology. In this paper, we focus on improving the EIT resolution by incorporating the direction-of-arrival (DOA) theory into the EIT model and use the DOA estimation algorithm to solve the inverse problem of EIT. The m-Capon algorithm proposed in this paper is based on a beamforming framework, there is no need to estimate the model order from the covariance matrix, and high resolution is obtained. The algorithms are simulated on the eidors platform of MATLAB. We use a resolution function, an image reconstruction quality function, and a correlation function as image evaluation functions. We compare the m-Capon algorithm with the back-projection (BP) algorithm, the Gauss–Newton (GN) algorithm, and a multiple signal classification (MUSIC)-like algorithm under different EIT models and signal-to-noise ratios (SNRs). Simulation results show that the EIT technology based on the DOA estimation algorithm used in this study is feasible, and the m-Capon imaging algorithm proposed in this paper gives higher resolution, stronger anti-jamming ability, and higher image quality than the other algorithms.

Corresponding author: Guoen Wei


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Cite this article
Jun Wen, Guoen Wei, and Xue Xiong, Electrical Impedance Tomography Based on a High-resolution Direction-of-arrival Estimation Algorithm, Sens. Mater., Vol. 32, No. 10, 2020, p. 3297-3311.



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