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Long-term fading channel estimation from sample covariances
Karlstad University, Faculty of Technology and Science, Department of Physics and Electrical Engineering.
Ericsson Research, Sweden.
Karlstad University, Faculty of Technology and Science, Department of Mathematics.
2009 (English)In: Automatica, ISSN 0005-1098, Vol. 45, no 5, 1126-1133 p.Article in journal (Refereed) Published
Abstract [en]

The power attenuation dynamics for long-term log-normal fading channels in wireless communication systems is modeled by a stochastic differential equation. Estimators for the model parameters based on sample covariances from data corrupted by discrete-time measurement noise are given. It is shown that the estimators are consistent, and variance expressions are derived and compared numerically to the Cramér–Rao bound. The estimation of the model parameters allows for the design of power control algorithms.

Place, publisher, year, edition, pages
2009. Vol. 45, no 5, 1126-1133 p.
Keyword [en]
Estimation theory, Fading channel, Stochastic differential equation, Covariance function, Statistical analysis
National Category
Mathematics Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Mathematics; Electrical Engineering
Identifiers
URN: urn:nbn:se:kau:diva-10988DOI: 10.1016/j.automatica.2008.12.013OAI: oai:DiVA.org:kau-10988DiVA: diva2:494551
Available from: 2012-02-08 Created: 2012-02-08 Last updated: 2013-10-22Bibliographically approved

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Mossberg, MagnusMossberg, Eva
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