Sub-Nyquist sampling method and its application in high-frequency electric-field measurement

Ding, Hui; Lyu, Fangxing; Zhao, Haicheng; Xu, Ning; Han, Chunyang

doi:10.1117/1.oe.58.11.114106

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…Some studies have proved that when the correlation coefficient between the observation matrix Φ and the sparse dictionary Ψ is less than 0.2, the observation matrix Φ is eligible [25][26][27]. The correlation coefficient between Φ and Ψ2 can be calculated by where i…”

Section: Construction Of Observation Matrixmentioning

confidence: 99%

An Enhanced Photonic-Assisted Sampling Approach for Spectrum-Sparse Signal by Compressed Sensing

Lyu

Fang

et al. 2022

IEEE Access

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Section: Construction Of Observation Matrixmentioning

confidence: 99%

An Enhanced Photonic-Assisted Sampling Approach for Spectrum-Sparse Signal by Compressed Sensing

Lyu

Fang

et al. 2022

IEEE Access

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“…Compressed sensing (CS) theory provides a new promising for solving this kind of problem, which is widely used in analog information converter (AIC), medical CT image compression, image reconstruction and denoising, radar detection, speech recognition, and many other fields [22][23][24][25][26]. CS theory breaks through the traditional Nyquist sampling theorem's limitations and can reduce the pressure of highfrequency signal acquisition and a large amount of data storage [27][28].…”

Section: Introductionmentioning

confidence: 99%

A High-Frequency Measurement Method of Downhole Vibration Signal Based on Compressed Sensing Technology and Its Application in Drilling Tool Failure Analysis

Lyu,

Wang,

Mei

et al. 2023

IEEE Access

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The high-frequency information of downhole vibration can record more specific details about the dynamic response of bottom hole assembly (BHA), which is conducive to analyzing downhole abnormal vibration and diagnosing drilling tool failure. However, high frequency measurements would generate a large amount of data, which is a huge challenge for data storage. To cope with this challenge, this work proposes applying compressive sensing theory to high-frequency measurement of downhole vibration signals and failure analysis of drilling tools. First, three ADCs clocked at different sub-Nyquist frequencies are used to collect and store downhole vibration signals. Then, the stored sparse vibration data is reconstructed into complete vibration signal by an improved OMP signal reconstruction algorithm. The performance of the proposed method has been investigated via a series of experiments by applying simulation and real vibration signals, which show that the proposed method can reconstruct the downhole vibration signal well and significantly reduce the pressure of acquisition and data storage. This method provides a new way to obtain the high-frequency measurement data of downhole vibration, and provides a data basis for further mastering the comprehensive law of downhole vibration, diagnosing abnormal downhole vibration, and drilling tool failure.INDEX TERMS Downhole vibration measurement, Compressed sensing, Drilling tool failure.

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High-frequency electric field intensity measurement based on frequency shift with high gain and wide frequency range

Lin

Wang

Tang

et al. 2023

Optics Communications

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Sub-Nyquist sampling method and its application in high-frequency electric-field measurement

Cited by 4 publications

References 22 publications

An Enhanced Photonic-Assisted Sampling Approach for Spectrum-Sparse Signal by Compressed Sensing

An Enhanced Photonic-Assisted Sampling Approach for Spectrum-Sparse Signal by Compressed Sensing

A High-Frequency Measurement Method of Downhole Vibration Signal Based on Compressed Sensing Technology and Its Application in Drilling Tool Failure Analysis

High-frequency electric field intensity measurement based on frequency shift with high gain and wide frequency range

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