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Polarization in space-time processing for propagation channel identification

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3 Author(s)
Desmezieres, A. ; LESiR-ENS Cachan, Cachan, France ; Bertaux, N. ; Larzabal, P.

We propose to estimate the multipath channel parameters using a space-time subspace-based approach with diversely polarized antennas. The diversity of the responses provided by such arrays can improve the directions and delays estimation. Our method exploits the polarized space-time steering vector. We extend the space-time MUSIC pseudo-spectrum by using the eigenvalues of a two dimensional matrix obtained by projections onto noise subspace. We first establish performances of the space-time method and compare the polarized approach with the conventional space-time MUSIC algorithm. Statistical performances are investigated and compared to the Cramer Rao bound

Published in:

Signal Processing Advances in Wireless Communications, 1999. SPAWC '99. 1999 2nd IEEE Workshop on

Date of Conference:

1999