  In this paper, we investigate multi-dimensional chaotic signals with respect
to wireless power transfer (WPT). Specifically, we analyze a multi-dimensional
Lorenz-based chaotic signal under a WPT framework. By taking into account the
nonlinearities of the energy harvesting process, closed-form analytical
expressions for the average harvested energy are derived. Moreover, the
practical limitations of the high power amplifier (HPA) at the transmitter are
also taken into consideration. We interestingly observe that for these types of
signals, high peak-to-average-power-ratio (PAPR) is not the only criterion for
obtaining enhanced WPT. We demonstrate that while the HPA imperfections do not
significantly affect the signal PAPR, it notably degrades the energy transfer
performance. As the proposed framework is general, we also demonstrate its
application with respect to a Henon signal based WPT. Finally we compare Lorenz
and Henon signals with the conventional multisine waveforms in terms of WPT
performance.
