Journal
2021 1ST IEEE INTERNATIONAL ONLINE SYMPOSIUM ON JOINT COMMUNICATIONS & SENSING (JC&S)
Volume -, Issue -, Pages -Publisher
IEEE
DOI: 10.1109/JCS52304.2021.9376319
Keywords
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Funding
- Academy of Finland [310991, 315858, 319994, 328214]
- Nokia Bell Labs
- Doctoral School of Tampere University
- Finnish Funding Agency for Innovation through the RF Convergence project
- Academy of Finland (AKA) [310991, 310991] Funding Source: Academy of Finland (AKA)
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Performing joint communication and sensing in MIMO systems is crucial for efficiently utilizing spectrum and improving communication capacity. By optimizing transmit and receive beamforming, it is possible to separate communication users and radar targets effectively.
Performing joint communication and sensing in multiple-input multiple-output (MIMO) systems is important for efficiently utilizing the crowded spectrum, through providing high capacity links to the communication users, while simultaneously facilitating improved sensing capabilities. Towards this, we optimize the transmit beamforming to provide concurrent multiple beams for communication and sensing, while effectively mitigating the cross-interference between different communication users. Moreover, the receive beamforming is optimized to observe reflections from the radar targets, while also canceling the self-interference due to the required full-duplex operation. We demonstrate that MIMO processing can separate the communication users and radar targets in the angular domain. Additionally, the super-resolution provided by angle estimation allows differentiating between radar targets having the same range, but with minuscule angular separation.
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