A deconvolution method for signal recovery of electromagnetic field sensors

Jiang, Yunsheng; Meng, Cui; Xu, Z.; Wu, Peiji; Zhang, Maoxing; Zhong, Meiqing

doi:10.1016/j.measurement.2021.109380

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…Due to the limitations of dynamic range, response time, frequency bandwidth, and other factors, the typical EMC probe or horn antenna is insufficient for EM pulse measurement [ 13 ]. Fortunately, a D-dot sensor is capable of meeting these demands, and is regarded as specialized equipment for transient EMI time-domain testing [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

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Identification and Compensation for D-Dot Measurement System in Transient Electromagnetic Pulse Measurement

Jin

Liu

2022

Sensors

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The measurement of the transient pulsed electromagnetic (EM) field is essential for analyzing electromagnetic compatibility. Due to their good performance, D-dot sensors, combined with numerical integration computation for signal recovery, are commonly used to measure electromagnetic pulses (EMPs). However, the integration approach is occasionally flawed due to a non-ideal frequency response or noise, causing distortions in the reconstructed signal. In order to better understand the dynamic performance of the sensor, a nonlinear Hammerstein model is employed in the system identification for the sensor with the calibration data collected in the laboratory environment. When identifying the linear component based on the ultra-wideband characteristics of the measured transient pulse, a two-step identification approach with two different pulse excitation modes, low frequency and high frequency, is utilized to conduct the modeling across the entire frequency range. Based on the reliable identification and modeling of the D-dot sensor, a compensation system that corresponds to the nonlinear Hammerstein model has been developed for the practical signal recovery of the incident E-field. After compensation, the dynamic characteristics of the sensor are significantly improved, and the system compensation approach outperforms the integration method in signal recovery for the incident E-field.

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Section: Introductionmentioning

confidence: 99%

“…Ref. [ 13 ] developed a deconvolution algorithm based on the maximum a posteriori (MAP) method for waveform recovery from the output signal of a D-Dot sensor that outperforms the integration method in a subsequent laboratory trial, thereby bringing a unique perspective. Using a single-pole integrator, Ref.…”

Section: Introductionmentioning

confidence: 99%

Identification and Compensation for D-Dot Measurement System in Transient Electromagnetic Pulse Measurement

Jin

Liu

2022

Sensors

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Measurement of high-power transient electromagnetic pulse field with integrated photonic electric-field sensor

Cui

Yao

et al. 2023

Instrumentation Science & Technology

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Bearing fault feature extraction method: improved weighted envelope spectrum

Cheng

Yang

Wang³

et al. 2023

Meas. Sci. Technol.

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Many existing cyclic spectrum analysis methods are difficult to solve the bearing fault diagnosis of multi-information frequency band. Based on this, an improved weighted envelope spectrum (IWES) method is proposed. Firstly, IWES uses the fault information intensity (FII) index to quantify bearing fault information and evaluate bearing fault information of spectral frequency bands in spectral coherence. Secondly, the threshold function is constructed to determine the threshold adaptively, so as to identify the spectrum frequency components with rich fault information in the spectral coherence. Meanwhile, a weight function is designed based on threshold function to eliminate the interference noise components and keep the fault information. Finally, the spectral coherence and weight function are used to generate IWES with multi-band information. The bearing experiments show that the IWES has excellent noise robustness and can accurately extract the bearing fault characteristic frequency.

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A deconvolution method for signal recovery of electromagnetic field sensors

Cited by 4 publications

References 16 publications

Identification and Compensation for D-Dot Measurement System in Transient Electromagnetic Pulse Measurement

Identification and Compensation for D-Dot Measurement System in Transient Electromagnetic Pulse Measurement

Measurement of high-power transient electromagnetic pulse field with integrated photonic electric-field sensor

Bearing fault feature extraction method: improved weighted envelope spectrum

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