SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Two New Approaches to Channel Prediction Based on Sinusoidal Modelling

Author(s)

Ming Chen	Department of Signals and Systems, Chalmers University of Technology, Sweden
Torbjörn Ekman	Unik, University Graduate Center, Norway
Mats Viberg	Department of Signals and Systems, Chalmers University of Technology, Sweden

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Abstract

Prediction of communication channels is important, for example to enable adaptive transmission strategies. In this paper, two new predictors are proposed based on sinusoidal modelling. First a Combined LMMSE (given frequency estimates) and LP is proposed. Then an improved LMMSE prediction is proposed by modelling the frequency estimate errors as Gaussian random variables. Both predictions have better performances than the LMMSE prediction (given frequency estimates) in computer simulations.