  Channel splicing is a rather new and very promising concept. It allows to
realize a wideband channel sounder by combining multiple narrow-band
measurements. Among others, channel splicing is a sparse sensing techniques
suggested for use in joint communication and sensing (JCAS), channel
measurements and prediction using cheap hardware that cannot measure wideband
channels directly such as in the internet of things (IoT). This work validates
the practicality of a channel splicing technique by integrating it into an
OFDM-based IEEE 802.11ac system, which we consider representative for many IoT
solutions. Our system allows computing both the channel impulse response (CIR)
and the channel frequency response (CFR). In this paper, we concentrate on the
impact of the number of sub-bands in our study and show that even using only
50% of the overall spectrum leads to very accurate CIR measures. We validate
the system in simulation and confirm the results in an experimental in-door
scenario using software defined radios.
