  In this paper, we present the superposition of chirp waveforms for
simultaneous wireless information and power transfer (SWIPT) applications.
Exploiting the chirp waveform characteristics enables us to superimpose
multiple chirps, thereby allowing transmission of the same number of waveforms
over less bandwidth. This enables us to perform subband selection when
operating over set of orthogonal subbands. Furthermore, we consider a user
equipped with a diplexer-based integrated receiver (DIR), which enables to
extract radio frequency power and decode information from the same signal
without splitting. Thereby, incorporating chirp superposition and subband
selection, a transmission scheme is proposed to exploit both the diode's
nonlinearity and frequency diversity. We derive novel closed-form analytical
expressions of the average harvested energy (HE) via transmission of
superimposed chirp over selected subbands based on tools from order statistics.
We also analyze the downlink information rate achieved at the user. Through our
analytical and numerical results, for the considered system setup, we show that
superimposed chirp-based SWIPT provides an improvement of 30$\%$ in average HE
performance as compared to multisine waveforms consisting of a set of
fixed-frequency cosine signals, improves the minimum level of HE in a multiuser
network, and extends the operating range of energy transfer as compared to
fixed-frequency waveforms. Furthermore, we illustrate that the inclusion of DIR
at the receiver for SWIPT enlarges the energy-information transfer region when
compared to the widely considered power splitting receiver.
