A 5G DMRS-based Signal for Integrated Sensing and Communication System
CoRR(2023)
Abstract
Integrated sensing and communication (ISAC) is considered as the potential
key technology of the future mobile communication systems. The signal design is
fundamental for the ISAC system. The reference signals in mobile communication
systems have good detection performance, which is worth further research.
Existing studies applied the single reference signal to radar sensing. In this
paper, a multiple reference signals collaborative sensing scheme is designed.
Specifically, we jointly apply channel state information reference signal
(CSI-RS), positioning reference signal (PRS) and demodulation reference signal
(DMRS) in radar sensing, which improve the performance of radar sensing via
obtaining continuous time-frequency resource mapping. Crámer-Rao lower bound
(CRLB) of the joint reference signal for distance and velocity estimation is
derived. The impacts of carrier frequency and subcarrier spacing on the
performance of distance and velocity estimation are revealed. The results of
simulation experiments show that compared with the single reference signal
sensing scheme, the multiple reference signals collaborative sensing scheme
effectively improves the sensing accuracy. Moreover, because of the
discontinuous OFDM symbols, the accuracy of velocity estimation could be
further improved via compressed sensing (CS). This paper has verified that
multiple reference signals, instead of single reference signal, have much more
superior performance on radar sensing, which is a practical and efficient
approach in designing ISAC signal.
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