Abstract
Two innovative array concepts are introduced for the design of long-distance Wireless Power Transfer (WPT) radiating systems. The achievable tradeoffs between complexity/cost mitigation and power focusing capabilities of unconventional WPT architectures with respect to state-of-the-art optimal WPT solutions are investigated. To this end, clustered or sparse WPT arrangements are introduced by formulating their syntheses either as excitation or as pattern matching problems then solved by ad-hoc versions of the Contiguous Partition Method and Compressive Sensing algorithms. Selected numerical examples are presented to assess the features and the potentialities of unconventional WPT designs also in comparison with traditional state-of-the-art optimal methods.
Notes
No potential conflict of interest was reported by the authors.
1 Without loss of generality and following the most commonly adopted convention [Citation28], the linear and planar arrangements are assumed hereinafter to be located in the z axis and in the x–y plane, respectively.
2 For a fair analysis, all the simulations have been performed on a 2.00 GHz single-core CPU laptop running non-optimized MATLAB implementations of all methods.