Data-aided SNR estimation in time-variant Rayleigh fading channels

H. Abeida*, Tareq Al-Naffouri, S. Al-Ghadhban

*Corresponding author for this work

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

1 Scopus citations

Abstract

This paper addresses the data-aided signal-to-noise ratio (SNR) estimation in time-variant flat Rayleigh fading channels. The time-variant fading channel is modeled by considering the Jakes' model and the first order autoregressive (ARl) model. Closed-form expressions of the Cramer-Rao bound (CRB) for data-aided SNR estimation are derived for fast and slow fading Rayleigh channels. As a special case, the CRB under uncorrelated fading Rayleigh channel is derived. Analytical approximate expressions of the CRB are derived for low and high SNR that enable the derivation of a number of properties that describe the bound's dependence on key parameters such as SNR, channel correlation, sample number. Since the exact maximum likelihood (ML) estimator is computationally intensive in the case of fast-fading channel, two approximate solutions are proposed for high and low SNR cases. Numerical results illustrate the performance of the estimators and confirm the validity of the theoretical analysis.

Original languageEnglish (US)
Title of host publication2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2010
DOIs
StatePublished - Dec 1 2010
Event2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2010 - Marrakech, Morocco
Duration: Jun 20 2010Jun 23 2010

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Other

Other2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2010
CountryMorocco
CityMarrakech
Period06/20/1006/23/10

Keywords

  • AR1 channel model
  • Cramér Rao bound
  • Jakes channel model
  • ML estimator
  • SNR estimation
  • Time-varying fading channel

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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