Metrological characterization of high-performance delta-sigma ADCs: A case study of CERN DS-22

Arpaïa, Pasquale; Baccigalupi, Carlo; Martino, Michele

doi:10.1109/i2mtc.2018.8409653

Cited by 5 publications

(6 citation statements)

References 7 publications

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“…According to the research results presented in [12,[21][22][23], this correlation can be neglected. Therefore, it is proposed to describe the signal e x,q (i) associated with the i-th realization of the quantization error using an uncorrelated additive noise model with the same probability of obtaining each of the possible realization values in the interval:…”

Section: Properties Of the Analog-to-digital Convertermentioning

confidence: 99%

Error Model of the Measurement Chain Containing the Discrete Wavelet Transform Algorithm

Kampik,

Roj,

Dróżdż

2024

Preprint

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The paper presents an error model of a measurement chain containing link performing discrete wavelet transform algorithm which is most often the last stage of measurement signal processing. The goal is to determine the uncertainty budget of the input quantities of the wavelet transform algorithm. The error model takes into account parts of analog, analog-to-digital and digital processing, describing the properties of subsequent fragments of the chain using their transmittance and processing functions. The proposed model enables the description of both deterministic and non-deterministic properties of signal errors. The proposed model was validated using an example measurement chain created for this purpose.

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Section: Properties Of the Analog-to-digital Convertermentioning

confidence: 99%

Error Model of the Measurement Chain Containing the Discrete Wavelet Transform Algorithm

Kampik,

Roj,

Dróżdż

2024

Preprint

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“…However, beams are present already before this state is reached, so the measurement chain must ensure smooth operation from beam injection through ramp-up to the flat top. Transients, sharp steps, or signal artifacts such as idle tones [2], [3] are undesirable, as they could lead to increased beam losses, or in the worst scenario to tripping of the PC and subsequent beam dump.…”

Section: G Slow Linear Ramp Responsementioning

confidence: 99%

“…Previous estimates of the broadband and low-frequency noise of the digitizer were improved near its full scale and throughout the measurement range using noise-free test voltages generated by the PJVS. The uncertainty in the measurement of nonlinearity was also reduced with respect to classical methods counting on the linearity of DVMs [3], [24], [29], Fig. 13.…”

Section: H Long-term Stabilitymentioning

confidence: 99%

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Design and Metrological Characterization of a Digitizer for the Highest Precision Magnet Powering in the High Luminosity Large Hadron Collider

Beev,

Bastos,

Martino

et al. 2024

IEEE Trans. Instrum. Meas.

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A new digitizer, the HPM7177, which is a fundamental component of the signal chain for high precision measurement of particle accelerator magnet currents, is presented. It was designed to meet the unprecedented performance requirements for new 14 kA and 18 kA power converters (PCs) for the High Luminosity Large Hadron Collider (HL-LHC) project at CERN, particularly in terms of low-frequency noise and stability. To determine accurately the performance of the digitizer, which is on a similar level as state-of-the-art classical metrological equipment, we carried out a thorough characterization using the programmable Josephson voltage standard (PJVS) at PTB-Braunschweig. At its nominal full scale of 10 V, the digitizer has a white noise level of <175 nV Hz −1/2 , 1/ f noise floor ≈7 × 10 −8 V, and a 12-h peak-to-peak stability better than 2 µV or 0.2 parts per million (ppm). The static non-linearity from 0 V to +10 V is <1 ppm and remains stable to ≈10 −7 level in 12 months. The digitizer operates at a fixed rate of 10 kSamples/s and can be synchronized externally. Besides qualifying HPM7177 for its application, the characterization reveals important aspects of its operation, as well as some performance limitations.

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“…It can be noticed that the realization values of the discussed error signal depend on the realization values of the ADC input quantities. According to the research results presented in [12,[21][22][23], this correlation can be neglected. Therefore, we propose describing the signal e x,q (i) associated with the i-th realization of the quantization error using an uncorrelated additive noise model with the same probability of obtaining each of the possible realization values in the interval:…”

Section: Properties Of the Analog-to-digital Convertermentioning

confidence: 99%

Error Model of a Measurement Chain Containing the Discrete Wavelet Transform Algorithm

Kampik,

Roj,

Dróżdż

2024

Applied Sciences

View full text Add to dashboard Cite

This paper presents an error model of a measurement chain containing a link that executes a discrete wavelet transform algorithm, which is most often the last stage of measurement signal processing. The goal is to determine the uncertainty budget of the input quantities of the wavelet transform algorithm. The error model takes into account parts of analog, analog-to-digital and digital processing, describing the properties of subsequent fragments of the chain using their transmittance and processing functions. The proposed model enables the description of both the deterministic and non-deterministic properties of signal errors. The proposed model was validated using an example measurement chain created for this purpose.

show abstract

Metrological characterization of high-performance delta-sigma ADCs: A case study of CERN DS-22

Cited by 5 publications

References 7 publications

Error Model of the Measurement Chain Containing the Discrete Wavelet Transform Algorithm

Error Model of the Measurement Chain Containing the Discrete Wavelet Transform Algorithm

Design and Metrological Characterization of a Digitizer for the Highest Precision Magnet Powering in the High Luminosity Large Hadron Collider

Error Model of a Measurement Chain Containing the Discrete Wavelet Transform Algorithm

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