A novel clustering-based filter for impulsive noise reduction in electromagnetic tomography (EMT)

Ziqi Chen; Jorge R. Salas-avila; Yang Tao; Wuliang Yin; Zhijie Zhang

doi:10.1063/5.0018699

A novel clustering-based filter for impulsive noise reduction in electromagnetic tomography (EMT)

Ziqi Chen, Jorge R. Salas-avila, Yang Tao, Wuliang Yin, Zhijie Zhang

North University of China

Research output: Contribution to journal › Article › peer-review

Abstract

Demodulation is a crucial step in signal processing for electromagnetic tomography (EMT) systems. Impulse noise appears in EMT, in particular, when excitation current is switched from one coil to another. This is mainly a result of the fact that the discontinuity of current creates voltage spikes due to back electromotive force. This paper proposes a novel clustering-based method for reducing this impulsive noise on the basis of Kalman filter demodulation. The Kalman filter is capable of demodulating the multiplexing signal reclusively, but it introduces dynamic oscillations at the same time. The proposed clustering method is able to successfully separate the signal from the impulse noise and smoothen the dynamic oscillations after demodulation. Simulation and experimental results show that the proposed clustering method can improve the signal-to-noise ratio by more than 20 dB in both the real and imaginary parts of EMT measurements. This technique is also useful in multi-channel coil systems where coil switching is necessary.

Original language	English
Pages (from-to)	105118
Journal	AIP Advances
Volume	10
Issue number	10
Early online date	9 Oct 2020
DOIs	https://doi.org/10.1063/5.0018699
Publication status	E-pub ahead of print - 9 Oct 2020

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10.1063/5.0018699

http://aip.scitation.org/doi/10.1063/5.0018699

Electromagnetic Sensing Group
Peyton, A. (PI), Fletcher, A. (Researcher), Daniels, D. (CoI), Conniffe, D. (PGR student), Podd, F. (PI), Davidson, J. (Researcher), Anderson, J. (Support team), Wilson, J. (Researcher), Marsh, L. (PI), O'Toole, M. (PI), Watson, S. (PGR student), Yin, W. (PI), Regan, A. (PGR student), Williams, K. (Researcher), Rana, S. (Researcher), Khalil, K. (PGR student), Hills, D. (PGR student), Whyte, C. (PGR student), Wang, C. (PGR student), Hodgskin-Brown, R. (PGR student), Dadkhahtehrani, F. (PGR student), Forster, S. (PGR student), Zhu, F. (PGR student), Yu, K. (PGR student), Xiong, L. (PGR student), Lu, T. (PGR student), Zhang, L. (PGR student), Lyu, R. (PGR student), Zhu, R. (PGR student), She, S. (PGR student), Meng, T. (PGR student), Pang, X. (PGR student), Zheng, X. (PGR student), Bai, X. (PGR student), Zou, X. (PGR student), Ding, Y. (PGR student), Shao, Y. (PGR student), Xia, Z. (PGR student), Zhang, Z. (PGR student), Khangerey, R. (PGR student) & Lawless, B. (Researcher)
1/10/04 → …
Project: Research

Cite this

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title = "A novel clustering-based filter for impulsive noise reduction in electromagnetic tomography (EMT)",

abstract = "Demodulation is a crucial step in signal processing for electromagnetic tomography (EMT) systems. Impulse noise appears in EMT, in particular, when excitation current is switched from one coil to another. This is mainly a result of the fact that the discontinuity of current creates voltage spikes due to back electromotive force. This paper proposes a novel clustering-based method for reducing this impulsive noise on the basis of Kalman filter demodulation. The Kalman filter is capable of demodulating the multiplexing signal reclusively, but it introduces dynamic oscillations at the same time. The proposed clustering method is able to successfully separate the signal from the impulse noise and smoothen the dynamic oscillations after demodulation. Simulation and experimental results show that the proposed clustering method can improve the signal-to-noise ratio by more than 20 dB in both the real and imaginary parts of EMT measurements. This technique is also useful in multi-channel coil systems where coil switching is necessary.",

author = "Ziqi Chen and Salas-avila, {Jorge R.} and Yang Tao and Wuliang Yin and Zhijie Zhang",

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AU - Chen, Ziqi

AU - Salas-avila, Jorge R.

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AU - Zhang, Zhijie

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AB - Demodulation is a crucial step in signal processing for electromagnetic tomography (EMT) systems. Impulse noise appears in EMT, in particular, when excitation current is switched from one coil to another. This is mainly a result of the fact that the discontinuity of current creates voltage spikes due to back electromotive force. This paper proposes a novel clustering-based method for reducing this impulsive noise on the basis of Kalman filter demodulation. The Kalman filter is capable of demodulating the multiplexing signal reclusively, but it introduces dynamic oscillations at the same time. The proposed clustering method is able to successfully separate the signal from the impulse noise and smoothen the dynamic oscillations after demodulation. Simulation and experimental results show that the proposed clustering method can improve the signal-to-noise ratio by more than 20 dB in both the real and imaginary parts of EMT measurements. This technique is also useful in multi-channel coil systems where coil switching is necessary.

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A novel clustering-based filter for impulsive noise reduction in electromagnetic tomography (EMT)

Abstract

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