Multi-dimensional Lorenz-Based Chaotic Waveforms for Wireless Power Transfer

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