2018
DOI: 10.1109/temc.2017.2763627
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Base-Case Model for Measurement Uncertainty in a Reverberation Chamber Including Frequency Stirring

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Cited by 24 publications
(27 citation statements)
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“…The MU for SE can be calculated from each measurement model, by considering the MU of the single parameters in it included, as shown in [21,[31][32][33][34] for quantities different than SE. In [35,36], the MU of the IL including FS and statistical non-uniformity is also shown. The effects of non-uniformity are also addressed in [37].…”
Section: On the Mu Of The Proposed Modelsmentioning
confidence: 99%
“…The MU for SE can be calculated from each measurement model, by considering the MU of the single parameters in it included, as shown in [21,[31][32][33][34] for quantities different than SE. In [35,36], the MU of the IL including FS and statistical non-uniformity is also shown. The effects of non-uniformity are also addressed in [37].…”
Section: On the Mu Of The Proposed Modelsmentioning
confidence: 99%
“…where η R and η M represent the efficiency of the reference and measurement antennas, Γ R and Γ M represent the reflection coefficient of the reference and measurement antennas, respectively. S 21 [14] in the reference measurement, respectively. ⟨ • ⟩ N represents the ensemble average of N samples.…”
Section: Statisticsmentioning
confidence: 99%
“…In addition to the usual uncertainty contributions when conducting an antenna measurement, the RC's stochastic property can contribute to the uncertainty as well. The measurement uncertainty of the RC has been extensively studied in the literature [13][14][15][16][17][18][19][20][21][22][23][24]. Nevertheless, most of these studies are confined to passive measurements, except for [22][23][24] where the TRPs of active wireless devices were measured.…”
Section: Introductionmentioning
confidence: 99%
“…The measurement uncertainty with both mode stirring and frequency stirring was extensively studied in [22] and recently in [23] (by assuming uncorrelated samples). It is noted that 'independent' is equivalent to 'uncorrelated' in a well-stirred (i.e.…”
Section: Number Of Independent Samplesmentioning
confidence: 99%