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Optimal training for ML and LMMSE channel estimation in MIMO systems

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2 Author(s)
Leus, G. ; Fac. EEMCS, Delft Univ. of Technol. ; von der Veen, A.-J.

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

Published in:

Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on

Date of Conference:

17-20 July 2005