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Integrated sensing and communication (ISAC) is considered as the potentialkey technology of the future mobile communication systems. The signal design isfundamental for the ISAC system. The reference signals in mobile communicationsystems have good detection performance, which is worth further research.Existing studies applied the single reference signal to radar sensing. In thispaper, 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 viaobtaining continuous time-frequency resource mapping. Cr\'amer-Rao lower bound(CRLB) of the joint reference signal for distance and velocity estimation isderived. The impacts of carrier frequency and subcarrier spacing on theperformance of distance and velocity estimation are revealed. The results ofsimulation experiments show that compared with the single reference signalsensing scheme, the multiple reference signals collaborative sensing schemeeffectively improves the sensing accuracy. Moreover, because of thediscontinuous OFDM symbols, the accuracy of velocity estimation could befurther improved via compressed sensing (CS). This paper has verified thatmultiple reference signals, instead of single reference signal, have much moresuperior performance on radar sensing, which is a practical and efficientapproach in designing ISAC signal.

Multiple Reference Signals Collaborative Sensing for Integrated Sensing and Communication System Towards 5G-A and 6G