Parameter Estimation and Uncertainty Evaluation in a Low Rician K-Factor Reverberation-Chamber Environment

Author

Wang, C. M. Jack ; Remley, Kate A. ; Kirk, Ansgar T. ; Pirkl, Ryan J. ; Holloway, Christopher L. ; Williams, Dylan F. ; Hale, Paul D.

Author_Institution

Stat. Eng. Div., Nat. Inst. of Stand. & Technol., Boulder, CO, USA

Volume

56

Issue

5

fYear

2014

fDate

Oct. 2014

Firstpage

1002

Lastpage

1012

Abstract

In this paper, we study statistical methods for estimating the Rician K-factor when this parameter is small. A fiducial approach for making statistical inference on the K-factor is discussed. The approach requires a Monte Carlo method to compute the uncertainty of a K-factor estimate. Simulation and measurement studies are carried out to evaluate the performance of the proposed procedure and compare it with some of the existing procedures. A procedure for assessing the adequacy of the estimation of the K-factor via quantile plots is presented.

Keywords

Monte Carlo methods; Rician channels; parameter estimation; reverberation chambers; Monte Carlo method; Rician K-factor; fiducial distribution; parameter estimation; quantile plots; reverberation chamber; statistical inference; uncertainty evaluation; Estimation; Monte Carlo methods; NIST; Parameter estimation; Random variables; Reverberation chambers; Uncertainty; Fiducial distribution; K-factor; parameter estimation; reverberation chamber; wireless system measurement;

fLanguage

English

Journal_Title

Electromagnetic Compatibility, IEEE Transactions on

Publisher

ieee

ISSN

0018-9375

Type

jour

DOI

10.1109/TEMC.2014.2313461

Filename

6786052