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Estimation of Frequency-Selective Block-Fading MIMO Channels Using PARAFAC Modeling and Alternating Least Squares

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4 Author(s)
Andre L. F. de Almeida ; Laboratoire I3S/CNRS/UNSA, 2000 route des Lucioles, B.P. 121, 06903 Sophia Antipolis Cédex, France. E-mail: lima@i3s.unice.fr ; Gerard Favier ; Joao Cesar M. Mota ; Raul L. de Lacerda

The parametric estimation of Multiple-Input Multiple-Output (MIMO) channels is an important step towards the space-time characterization of the radio channel as well as for the design of efficient space-time signaling techniques. In this paper, we address the problem of multipath parameter estimation for frequency-selective block-fading MIMO channels by means of parallel factor (PARAFAC) analysis [1]-[2]. First, we present a fourth-order PARAFAC model for a specular MIMO radio channel, which jointly captures the space-time signature (angles of arrival, angles of departure and delays) and the time-varying fading amplitudes. Based on this model, an Alternating Least Squares (ALS) algorithm is used for estimating the multipath signals from a collection of received data blocks. After the multipath resolution stage, final estimates of the angles, delays and fading amplitudes are obtained by exploiting the knowledge of a multi-block training sequence. Numerical results are provided to illustrate the performance of this estimation approach.

Published in:

2006 Fortieth Asilomar Conference on Signals, Systems and Computers

Date of Conference:

Oct. 29 2006-Nov. 1 2006