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

Published

October 15, 2014

Author(s)

Chih-Ming Wang, Catherine A. Remley, Ansgar T. Kirk, Ryan J. Pirkl, Christopher L. Holloway, Dylan F. Williams, Paul D. Hale

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.

Citation

IEEE Transactions on Electromagnetic Compatibility

Volume

56

Issue

5

Pub Type

Journals

Keywords

fiducial distribution, K-factor, parameter estimation, reverberation chamber, wireless system measurement

Citation

Wang, C. , Remley, C. , Kirk, A. , Pirkl, R. , Holloway, C. , Williams, D. and Hale, P. (2014), Parameter Estimation and Uncertainty Evaluation in a Low Rician K-Factor Reverberation-Chamber Environment, IEEE Transactions on Electromagnetic Compatibility (Accessed October 13, 2025)