On 3-D harmonic retrieval for wireless channel sounding

Kleanthis N. Mokios, Nikolaos Sidiropoulos, Marius Pesavento, C. F. Mecklenbräuker

Research output: Contribution to journalConference articlepeer-review

21 Scopus citations

Abstract

Multidimensional harmonic retrieval (HR) problems often appear in the context of MIMO wireless channel sounding. In particular, for a double-directional parametric MIMO channel model with uniform linear transmit and receive arrays, and a fixed wireless scenario (static - no Doppler), fitting the channel model parameters amounts to a 3-D harmonic retrieval problem. For this latter problem, we develop two new algorithms. One is based on conjugate-folding of the 3-D data and reduction to an eigenvalue decomposition problem; the other on a 3-D version of the Rank Reduction Estimator (RARE) applied to a subspace extracted from a single data snapshot, using 3-D conjugate-folding. Both algorithms remain operative close to the best known model identifiability boundary. The two algorithms are compared via pertinent simulations.

Original languageEnglish (US)
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
StatePublished - Oct 7 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

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