ICASSP 1999, 24th IEEE International Conference on Acoustics, Speech and Signal Processing, March 15-19, 1999, Phoenix, USA
We address the problem of blind multiuser multichannel identification in a Spatial Division Multiple Access (S.D.M.A.) context. Using a stochastic model for the input symbols and only second order statistics, we develop a simple algorithm, based on the Gener-alized Schur algorithm to apply LDU decomposition of the covari-ance matrix of the received data. We show that this method leads to identification of the channel, up to a unitary mixture matrix.Furthermore, the identification algorithm is shown to be robust to channel length overestimation and approaches the performance of the Weighted Linear Prediction (WLP) method [1], at low computational cost.
Type:
Conférence
City:
Phoenix
Date:
1999-03-19
Department:
Systèmes de Communication
Eurecom Ref:
298
Copyright:
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