| Paper: | SAM-P1.5 | ||
| Session: | Array Processing | ||
| Time: | Tuesday, May 18, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Sensor Array and Multichannel Signal Processing: Array processing for wireless communications | ||
| Title: | ON 3-D HARMONIC RETRIEVAL FOR WIRELESS CHANNEL SOUNDING | ||
| Authors: | Kleanthis Mokios; Technical University of Crete | ||
| Nicholas Sidiropoulos; Technical University of Crete | |||
| Marius Pesavento; Ruhr-Universität Bochum | |||
| Christoph Mecklenbräuker; Forschungszentrum Telekommunikation Wien | |||
| 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. | ||
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