SSP'05 -- Proceedings

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

Information regarding the paper

Title

Optimal Training for ML and LMMSE Channel Estimation in MIMO Systems

Author(s)

Geert Leus	Delft University of Technology
Alle-Jan van der Veen	Delft University of Technology

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Abstract

In this paper, we present some optimal training designs for maximum likelihood (ML) and linear minimum mean square error (LMMSE) channel estimation for multiple-input multiple-output (MIMO) systems. As optimization criterion, the channel mean square error (MSE) is chosen. The key idea is not to restrict the channel estimation to a single transmitted symbol block, but to possibly exploit multiple symbol blocks, assuming the channel remains constant over these blocks. This leads to some new optimal training designs.