INTEGRATING THE SENSING AND RADIO COMMUNICATIONS CHANNEL MODELLING FROM RADAR MUTUAL INTERFERENCE
Narcis Cardona (iTEAM Research Institute, Universitat Politècnica de València); Jhoan Samuel Romero (iTEAM Research Institute, Univesitat Politècnica de València); Wenfei Yang (Huawei Technologies); Jian Li (Huawei Technologies)
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The current growing interest in integrated sensing and communications (ISAC) for the next generation of radio access networks towards 6G is opening new challenges on the channel estimation and modelling. New frequency bands and novel techniques for joining the sensing and the transmission of information over the same waveform are becoming a hot topic for research. This paper proposes a generalist dual channel model description for ISAC and a technique to relate the sensing and the communications channel, which is described analytically and verified with measurements. The technique is based on exploiting the mutual interference between radar sensors to estimate the multipath communications channel between them.