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A parametric subspace-based blind estimation of a SIMO-FIR with unknown channel order

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4 Author(s)

Subspace techniques have become a popular tool for blind identification of SIMO-FIR systems. A serious drawback of these methods is their sensitivity to the order modeling errors. We show that the so-called “parametric” approach of subspace methods (which exploits the specular structure of the propagation channel), is robust to channel order overestimation. We propose a deflation procedure to resolve the parametric subspace criterion. Simulations show that this algorithm outperforms classical subspace methods and remain consistent even when the channel order is overestimated by a large factor

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

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