A spectral approach for the determination of the reverberating chamber quality factor

Corona, P.; Ferrara, Giuseppe; Migliaccio, M.

doi:10.1109/15.673620

Cited by 40 publications

(24 citation statements)

References 10 publications

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“…3(c)) exhibits a stronger monotonic average decrease with frequency. Thus, the difference between the spectral density of the nominal and net input power can be considerable, contrary to what has been observed previously [24], particularly at frequencies or stir states for which the mismatch of the input impedance of the transmitter or receiver antenna is not negligibly small, as is typical the case in MT/MSRCs. By spectral averaging of the S-parameter based factors in accordance with (8) across frequencies per using three antenna locations, a total of 1400 sample values were obtained.…”

Section: A Measurement Of S-parameters and Extraction Ofcontrasting

confidence: 62%

“…Note that, despite a similar name for the technique, the spectral method presented in this paper is entirely different from that in [24], where only an average value of was determined, based solely on second-order statistics (power spectral density) in the stir domain. By contrast, in the present paper a first-order characterization (i.e., based on the PDF) is performed, which embodying and exploiting multivariate analysis in the space-stirfrequency domain.…”

Section: Introductionmentioning

confidence: 97%

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Evaluation Method for the Probability Distribution of the Quality Factor of Mode-Stirred Reverberation Chambers

Arnaut

Andries²,

Sol

et al. 2014

IEEE Trans. Antennas Propagat.

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An efficient experimental technique is presented for determining the empirical probability distribution of the quality factor ( ) of a mode-stirred reverberation chamber. The method is based on triplets of S-parameters that are measured at three locations of the receiver and spectrally averaged across a narrow frequency interval. It avoids the need for detailed spatial mechanical scanning of a field sensor. Statistics of the fluctuations of the stored and dissipated energy can be deduced individually. The effective number of excited cavity modes per stir state at a selected frequency serves as a degrees-of-freedom parameter of the distribution. The value of is estimated with the method, by fitting the empirical distribution of to a Fisher-Snedecor theoretical distribution using nonlinear minimization. Measurement results across 0.1-6.1 GHz support the validity of the theoretical distribution and the experimental technique, indicating that spectral averaging over a band as narrow a few MHz is sufficient within this frequency range to obtain good agreement. For a chosen averaging bandwidth, is found to increase rapidly with frequency below approximately 1 GHz in our chamber, followed by a slow decrease at higher frequencies. This frequency dependence is interpreted physically.Index Terms-Maximum likelihood estimation, mode-stirred reverberation chamber (MSRC), moment method estimation, probability distribution, quality factor, uncertainty quantification.

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Section: A Measurement Of S-parameters and Extraction Ofcontrasting

confidence: 62%

Section: Introductionmentioning

confidence: 97%

Evaluation Method for the Probability Distribution of the Quality Factor of Mode-Stirred Reverberation Chambers

Arnaut

Andries²,

Sol

et al. 2014

IEEE Trans. Antennas Propagat.

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show abstract

“…The formulation (5) assumes that the only unstirred component is the direct coupling LOS signal, i.e., all reflections interact with the stirrer. Accurately evaluating the quality factor of the chamber remains a difficult task since its estimation will depend on the method applied [13]. For this reason, our modus operandi uses a reference antenna, following the same methodology as the RC antenna radiation efficiency measurement technique [1].…”

Section: Directivity Estimation From -Factormentioning

confidence: 99%

Antenna Directivity Measurement in Reverberation Chamber From Rician $K$-Factor Estimation

Lemoine

Amador

Besnier

et al. 2013

IEEE Trans. Antennas Propagat.

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Self-adaptive genetic algorithms with simulated binary crossover," IEEE Trans.Abstract-Reverberation chambers are well known for providing a random-like electric field distribution. Detection of directivity or gain thereof requires an adequate procedure and smart post-processing. In this communication, a new method is proposed for estimating the directivity of radiating devices in a reverberation chamber (RC). The method is based on the Rician -factor whose estimation in an RC benefits from recent improvements. Directivity estimation relies on the accurate determination of the -factor with respect to a reference antenna. Good agreement is reported with measurements carried out in near-field anechoic chamber (AC) and using a near-field to far-field transformation.

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“…On the other hand, it has been shown that even if the modal overlapping within the static RC bandwidth [4] is low, the number of modes contributing to the chamber field generation can be remarkably high [5]. Inherently, the influence of the number of ergodic modes to the Q factor fluctuation has been theoretically described in [6].…”

Section: Introductionmentioning

confidence: 97%

Dependence of reverberation chamber performance on distributed losses: A numerical study

Gradoni

Primiani

Moglie

2014

2014 IEEE International Symposium on Electromagnetic Compatibility (EMC)

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Finite-difference time-domain simulations of reverberation chambers exhibit a strong frequency dependence of field/power fluctuations on distributed losses. The performances of a reverberation chamber are calculated at different loss conditions and in a wide frequency band in terms of backscatter coefficient, and number of independent positions. Those performance indicators are related to field and power statistics through the scattering coefficients. A goodness-of-fit test is applied to analyze the statistical distribution functions of the numerical transmission scattering coefficient. Strong deviations from idealized distribution functions, some unexpected, are observed varying the chamber loading at both low-and high-frequencies. Observed phenomena are confirmed from the random coupling model, which reconciliates findings with the universal behavior of wave chaotic systems, as well as with previous studies of other investigators.

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A spectral approach for the determination of the reverberating chamber quality factor

Cited by 40 publications

References 10 publications

Evaluation Method for the Probability Distribution of the Quality Factor of Mode-Stirred Reverberation Chambers

Evaluation Method for the Probability Distribution of the Quality Factor of Mode-Stirred Reverberation Chambers

Antenna Directivity Measurement in Reverberation Chamber From Rician $K$-Factor Estimation

Dependence of reverberation chamber performance on distributed losses: A numerical study

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