Estimation of the Ricean K-factor from noisy complex channel coefficients

Xavier Leturc, Philippe Ciblat, Christophe J. Le Martret

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The estimation of the Ricean K factor in case of noisy complex channel coefficients is addressed. A new deterministic estimator is designed, and the relevant deterministic Cramer-Rao Lower Bound (CRLB) is derived. It is shown by simulation that the new estimator outperforms the existing ones in term of both bias and Normalized Mean Square Error (NMSE), and is close to the CRLB. We also design two Bayesian estimators, which outperform the deterministic ones and are robust to small sample size (< 30 samples), but as a drawback are more complex.

Original languageEnglish
Title of host publicationConference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1092-1096
Number of pages5
ISBN (Electronic)9781538639542
DOIs
Publication statusPublished - 1 Mar 2017
Externally publishedYes
Event50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 - Pacific Grove, United States
Duration: 6 Nov 20169 Nov 2016

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Conference

Conference50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
Country/TerritoryUnited States
CityPacific Grove
Period6/11/169/11/16

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