A subspace approach for blind estimation of time-varying channels under STBC transmissions

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URI: https://hdl.handle.net/10902/36326
ISSN: 2076-1465
ISSN: 2219-5491
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Autoría
Vía Rodríguez, JavierAutoridad Unican; Santamaría Caballero, Luis IgnacioAutoridad Unican; Pérez Arriaga, JesúsAutoridad Unican
Fecha
2008
Derechos
© EURASIP. First published in the Proceedings of the 16th European Signal Processing Conference (EUSIPCO-2008) in 2008, published by EURASIP. IEEE is granted the nonexclusive, irrevocable, royalty-free worldwide rights to publish, sell and distribute the copyrighted work in any format or media without restriction.
Publicado en
16th European Signal Processing Conference (EUSIPCO), Lausanne, Switzerland, 2008
Editorial
Institute of Electrical and Electronics Engineers, Inc.
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Resumen/Abstract
In this paper we consider the problem of blind estimation of time-varying multiple-input multiple-output (MIMO) channels under space-time block coded (STBC) transmissions. Firstly, the time-varying channel is deterministically represented by means of a basis expansion model (BEM), which reduces the number of parameters to be estimated. Secondly, the STBC structure is exploited to blindly recover the channel parameters by means of a subspace technique, which reduces to the solution of a generalized eigenvalue problem (GEV). Unlike previous approaches, the proposed method provides very accurate results even for non-orthogonal STBCs and high Doppler frequencies, which is illustrated by means of some numerical examples.
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