In this paper, we present an improved model of measurement standard uncertainty of the insertion loss in a reverberation chamber (RC), including frequency stirring. Differently from the previous model, the enhanced one does not require specific conditions on the parameter to be measured. Such an enhancement is applicable for all usable measurement conditions in RCs. Moreover, a majorant is derived, that is obtained under a weak condition on the coefficient of variation of the parameter to be measured. Results from measurements support the validity of both the proposed enhancement and the majorant.

On the Estimated Measurement Uncertainty of the Insertion Loss in a Reverberation Chamber Including Frequency Stirring / Gifuni, Angelo; Bastianelli, Luca; Migliaccio, Maurizio; Moglie, Franco; Mariani Primiani, Valter; Gradoni, Gabriele. - In: IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. - ISSN 0018-9375. - STAMPA. - 61:5(2019), pp. 1414-1422. [10.1109/TEMC.2018.2870073]

On the Estimated Measurement Uncertainty of the Insertion Loss in a Reverberation Chamber Including Frequency Stirring

Bastianelli, Luca
Writing – Original Draft Preparation
;
Moglie, Franco
Writing – Review & Editing
;
Mariani Primiani, Valter
Writing – Review & Editing
;
Gradoni, Gabriele
Writing – Review & Editing
2019-01-01

Abstract

In this paper, we present an improved model of measurement standard uncertainty of the insertion loss in a reverberation chamber (RC), including frequency stirring. Differently from the previous model, the enhanced one does not require specific conditions on the parameter to be measured. Such an enhancement is applicable for all usable measurement conditions in RCs. Moreover, a majorant is derived, that is obtained under a weak condition on the coefficient of variation of the parameter to be measured. Results from measurements support the validity of both the proposed enhancement and the majorant.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/266064
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