In this paper, the synthesis of arrays for long-distance wireless power transmission (WPT) based on unconventional architectures is addressed. A subarraying technique based on an enhanced version of the Contiguous Partition Method suitably customized in order to efficiently deal with a WPT scenario is presented, and a Compressive Sensing-based method developed in a multi-task Bayesian framework is proposed for designing sparse WPT arrays. Selected numerical results are reported to highlight the effectiveness of the proposed techniques.
Innovative simplified array design for wireless power transmission / Oliveri, Giacomo; Rocca, Paolo; Poli, Lorenzo; Massa, Andrea. - STAMPA. - (2017), pp. 1-2. (Intervento presentato al convegno International Symposium - Italy 2017 (ACES) Applied Computational Electromagnetics Society tenutosi a Firenze nel 26th - 30nd March 2017) [10.23919/ROPACES.2017.7916359].
Innovative simplified array design for wireless power transmission
Oliveri Giacomo;Rocca Paolo;Poli Lorenzo;Massa Andrea
2017-01-01
Abstract
In this paper, the synthesis of arrays for long-distance wireless power transmission (WPT) based on unconventional architectures is addressed. A subarraying technique based on an enhanced version of the Contiguous Partition Method suitably customized in order to efficiently deal with a WPT scenario is presented, and a Compressive Sensing-based method developed in a multi-task Bayesian framework is proposed for designing sparse WPT arrays. Selected numerical results are reported to highlight the effectiveness of the proposed techniques.| File | Dimensione | Formato | |
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