A novel algebraic method for the simultaneous estimation of MIMO channel parameters from channel sounder measurements is developed. We consider a parametric multipath propagation model with 
discrete paths where each path is characterized by its complex path gain, its directions of arrival and departure, time delay, and Doppler shift. This problem is treated as a special case of the multidimensional harmonic retrieval problem. While the well-known ESPRIT-type algorithms exploit shift-invariance between specific partitions of the signal matrix, the rank reduction estimator (RARE) algorithm exploits their internal Vandermonde structure. A multidimensional extension of the RARE algorithm is developed, analyzed, and applied to measurement data recorded with the RUSK vector channel sounder in the 2 GHz band.
This article is part of the series Advances in Smart Antennas.
Research Article Multidimensional Rank Reduction Estimator for Parametric MIMO Channel Models
1 Lehrstuhl für Signaltheorie, Ruhr-Universität Bochum, Bochum 44780, Germany
2 FTW - Forschungszentrum Telekommunikation Wien, Wien, 1220, Austria
EURASIP Journal on Advances in Signal Processing 2004, 2004:839148 doi:10.1155/S1110865704401036
The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2004/9/839148
| Received: | 28 May 2003 |
| Revisions received: | 25 November 2003 |
| Published: | 19 August 2004 |
© 2004 Pesavento et al.
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