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Multipath Parameter Estimation of Time-Varying Space-Time Communication Channels Using Parallel Factor Analysis

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3 Author(s)
de Almeida, A.L.F. ; Lab. I3S/CNRS/UNSA, Sophia Antipolis ; Favier, G. ; Mota, J.C.M.

In this work we propose a new method for estimation of multipath parameters in the context of mobile communications. The proposed method is an effective way to exploit the fact that the paths amplitudes are fast-varying while angles and delays are slowly-varying over multiple time-slots. By relying on such a multislot invariance of angles and delays and by periodically extending a training sequence over multiple time-slots, we show that the received signal can be modeled as a third-order (3D) tensor, which follows a parallel factor (PARAFAC) model. An accelerated alternating least squares (ALS) algorithm is used for a joint estimation of the angles of arrival, delays and fading amplitudes of the multipaths. Numerical results from computer simulations show that the proposed PARAFAC-based estimator is capable of estimating the multipath channel parameters with good accuracy using short training sequences and with fewer receiver antennas than multipaths

Published in:

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on  (Volume:4 )

Date of Conference:

14-19 May 2006

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