  Integrated sensing and communication (ISAC) is a promising technology to
simultaneously provide high-performance wireless communication and radar
sensing services in future networks. In this paper, we propose the concept of
\emph{integrated super-resolution sensing and communication} (ISSAC), which
uses super-resolution algorithms in ISAC systems to achieve extreme sensing
performance for those critical parameters, such as delay, Doppler, and angle of
the sensing targets. Based on practical fifth generation (5G) New Radio (NR)
waveforms, the signal processing techniques of ISSAC are investigated and
prototyping experiments are performed to verify the achievable performance. To
this end, we first study the effect of uneven cyclic prefix (CP) lengths of 5G
NR orthogonal frequency division multiplexing (OFDM) waveforms on various
sensing algorithms. Specifically, the performance of the standard Periodogram
based radar processing method, together with the two classical super-resolution
algorithms, namely, MUltiple SIgnal Classification (MUSIC) and Estimating
Signal Parameter via Rotational Invariance Techniques (ESPRIT) are analyzed in
terms of the delay and Doppler estimation. To resolve the uneven CP issue, a
new structure of steering vector for MUSIC and a new selection of submatrices
for ESPRIT are proposed. Furthermore, an ISSAC experiment platform is setup to
validate the theoretical analysis, and the experimental results show that the
performance degradation caused by unequal CP length is insignificant and
high-resolution delay and Doppler estimation of the target can be achieved with
5G NR waveforms.
