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Communication Dans Un Congrès Année : 2012

Improving the tuning of First-Order Autoregressive Model for the estimation of Amplify and Forward Relay channel

Résumé

This paper deals with the estimation of the Amplify-and-Forward channel. Considering two widely accepted Rayleigh links with Jakes' spectrum, a first-order autoregressive model AR(1) is used to approximate the cascade of both links. A standard estimation algorithm is the Kalman filter. In this paper, we keep the choice of the AR(1)-Kalman filter, but we show that the method usually exploited in the literature to calculate the AR(1)-model parameter presents some disappointing results. We propose other values of the AR(1)-model parameter to improve the channel estimation, based on an off-line minimization of the asymptotic mean square error MSE for a given Doppler and signal to noise ratio. The simulation results show a considerable gain in terms of MSE of the well-tuned Kalman-based channel estimator, especially for the most common scenario of slow-fading channel.
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Dates et versions

hal-00701510 , version 1 (25-05-2012)

Identifiants

  • HAL Id : hal-00701510 , version 1

Citer

Soukayna Ghandour - Haidar, Laurent Ros, Jean-Marc Brossier. Improving the tuning of First-Order Autoregressive Model for the estimation of Amplify and Forward Relay channel. ICT 2012 - 19th International Conference on Telecommunications, Apr 2012, Jounieh, Lebanon. 6 p. ⟨hal-00701510⟩
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