Long-term fading channel estimation from sample covariances

Authors:
Magnus Mossberg;Erik K. Larsson;Eva Mossberg
Affiliations:
Department of Physics and Electrical Engineering, Karlstad University, SE-651 88 Karlstad, Sweden;Ericsson Research, Ericsson AB, SE-164 80 Stockholm, Sweden;Department of Mathematics, Karlstad University, SE-651 88 Karlstad, Sweden
Venue:
Automatica (Journal of IFAC)
Year:
2009

Citing 3
Cited 0

Stochastic power control for time-varying long-term fading wireless networks

EURASIP Journal on Applied Signal Processing
Identification of Continuous-time Models from Sampled Data

Identification of Continuous-time Models from Sampled Data
Fast estimators for large-scale fading channels from irregularly sampled data

IEEE Transactions on Signal Processing

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Abstract

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 Cramer-Rao bound. The estimation of the model parameters allows for the design of power control algorithms.