Performance limits in TDR technique by Monte Carlo simulation

Letosa, J.; García-Gracia, M.; Forniés-Marquina, J.M.; Artacho, J.M.

doi:10.1109/20.497401

Cited by 17 publications

(7 citation statements)

References 7 publications

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“…These sources include laser intensity fluctuation [9][10][11], optical and electronic noise [12,13], delay line stage jitter [14], registration noise [15], and so on. Mathematical treatments for these noise sources are available in general.…”

Section: Evaluation Of Uncertainty In the Terahertz Time-domain Spmentioning

confidence: 99%

Uncertainty in terahertz time-domain spectroscopy measurement

et al. 2008

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Section: Evaluation Of Uncertainty In the Terahertz Time-domain Spmentioning

confidence: 99%

Uncertainty in terahertz time-domain spectroscopy measurement

et al. 2008

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“…Thus, only the sampling clock jitter is included in the analysis of uncertainty. The error of the RTDO due to jitter and noise can be calculated using [13] …”

Section: B Error Of the Rtdomentioning

confidence: 99%

Uncertainty Analysis in EVM Measurement Using a Monte Carlo Simulation

Cho

Lee

Kim

et al. 2015

IEEE Trans. Instrum. Meas.

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This paper proposes an error vector magnitude (EVM) measurement method for a wideband codedivision multiple-access source using a real-time oscilloscope. The EVM values are extracted from the measured waveform using a signal processing that finds the appropriate carrier phase and symbol timing. Measurement uncertainty is also evaluated based on a Monte Carlo simulation, where the errors from the real-time oscilloscope and the signal processing are taken into account. The measured EVM of a source at 900 MHz is (0.2586 ± 0.0040)%, (0.2617 ± 0.0060)%, and (0.2543 ± 0.0078)% at 95% confidence level when the real-time oscilloscope has a bandwidth of 2, 4, and 20 GHz, respectively.Index Terms-Code division multiplexing, digital modulation, error vector magnitude (EVM), measurement uncertainty, phase-shift keying.

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“…Signal processing techniques can be used to mathematically understand and correct for delay stage imprecision [13]. We propose, simulate, measure, and compare the effectiveness of several signal processing techniques in order to compensate for irregular sampling positions without fundamentally changing the measurement setup or increasing the time of the scan.…”

Section: Sampling Techniques and Corrective Algorithmsmentioning

confidence: 99%

Corrective Re-gridding Techniques for Non-Uniform Sampling in Time Domain Terahertz Spectroscopy

Potts,

Mai,

Warren

et al. 2017

Preprint

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Time domain terahertz spectroscopy typically uses mechanical delay stages that inherently suffer from non-uniform sampling positions. We review, simulate, and experimentally test the ability of corrective cubic spline and Shannon re-gridding algorithms to mitigate the inherent sampling position noise. We present simulations and experimental results that show re-gridding algorithms can increase the signal to noise ratio within the frequency range of 100 GHz to 2 THz. We also predict that re-gridding corrections will become increasingly important to both spectroscopy and imaging as THz technology continues to improve and higher frequencies become experimentally accessible.

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Performance limits in TDR technique by Monte Carlo simulation

Cited by 17 publications

References 7 publications

Uncertainty in terahertz time-domain spectroscopy measurement

Uncertainty in terahertz time-domain spectroscopy measurement

Uncertainty Analysis in EVM Measurement Using a Monte Carlo Simulation

Corrective Re-gridding Techniques for Non-Uniform Sampling in Time Domain Terahertz Spectroscopy

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