Details
| Original language | English |
|---|---|
| Article number | 6786052 |
| Pages (from-to) | 1002-1012 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Electromagnetic Compatibility |
| Volume | 56 |
| Issue number | 5 |
| Publication status | Published - 1 Oct 2014 |
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
- Fiducial distribution, K-factor, parameter estimation, reverberation chamber, wireless system measurement
ASJC Scopus subject areas
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Physics and Astronomy(all)
- Condensed Matter Physics
- Engineering(all)
- Electrical and Electronic Engineering
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In: IEEE Transactions on Electromagnetic Compatibility, Vol. 56, No. 5, 6786052, 01.10.2014, p. 1002-1012.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Parameter estimation and uncertainty evaluation in a low Rician K-factor reverberation-chamber environment
AU - Wang, C. M.Jack
AU - Remley, Kate A.
AU - Kirk, Ansgar T.
AU - Pirkl, Ryan J.
AU - Holloway, Christopher L.
AU - Williams, Dylan F.
AU - Hale, Paul D.
PY - 2014/10/1
Y1 - 2014/10/1
N2 - 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.
AB - 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.
KW - Fiducial distribution
KW - K-factor
KW - parameter estimation
KW - reverberation chamber
KW - wireless system measurement
UR - http://www.scopus.com/inward/record.url?scp=84907811675&partnerID=8YFLogxK
U2 - 10.1109/TEMC.2014.2313461
DO - 10.1109/TEMC.2014.2313461
M3 - Article
AN - SCOPUS:84907811675
VL - 56
SP - 1002
EP - 1012
JO - IEEE Transactions on Electromagnetic Compatibility
JF - IEEE Transactions on Electromagnetic Compatibility
SN - 0018-9375
IS - 5
M1 - 6786052
ER -