2019
DOI: 10.1109/lsens.2019.2916636
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Postprocessing for Improved Accuracy and Resolution of Spread Spectrum Time-Domain Reflectometry

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Cited by 23 publications
(7 citation statements)
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“…If peak detection algorithms are used, this can result in inaccuracy in both the location and magnitude of the impedance change. Methods to fit or extrapolate these peaks [ 142 ], or the use of a sign eliminator [ 143 ], can significantly improve the results.…”
Section: Sstdr Signal Processing Algorithmsmentioning
confidence: 99%
“…If peak detection algorithms are used, this can result in inaccuracy in both the location and magnitude of the impedance change. Methods to fit or extrapolate these peaks [ 142 ], or the use of a sign eliminator [ 143 ], can significantly improve the results.…”
Section: Sstdr Signal Processing Algorithmsmentioning
confidence: 99%
“…The distance ∆d PV+cables is the calculated effective length given the time delay for the incident signal to arrive back to the SSTDR test device and a chosen VoP of the signal. For the VoP, we chose to use the measured VoP [33] through a PV cable of 0.721c where c ≈ 3 × 10 8 m/s (the speed of light in a vacuum). Since we are measuring the effective length and not necessarily the true length, we can use the same VoP for the PV modules and the connecting cables.…”
Section: Propagation Coefficients For In-line Pv Modulesmentioning
confidence: 99%
“…We found Z SSTDR (ω) to be characterized by a resistance of 68 Ω in series with a capacitance of 270 pF. We first found the 68 Ω resistance [32,33] by connecting a potentiometer directly to the SSTDR box and adjusting it whilst taking SSTDR measurements at each step and noting the potentiometer impedance that produced the minimum reflection response (effectively producing a matched load). We found that 68 Ω matched best with the test device impedance.…”
Section: Reflection Coefficient At the Sstdr Test Devicementioning
confidence: 99%
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