Joint Space-Time Adaptive Processing and Beamforming Design for Cell-Free ISAC Systems
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866913690163347456 |
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| author | Liu, Rang Li, Ming Liu, Qian |
| author_facet | Liu, Rang Li, Ming Liu, Qian |
| contents | In this paper, we explore cooperative sensing and communication within cell-free integrated sensing and communication (ISAC) systems. Specifically, multiple transmit access points (APs) collaboratively serve multiple communication users while simultaneously illuminating a potential target, with a separate sensing AP dedicated to collecting echo signals for target detection. To improve the performance of identifying a moving target in the presence of strong interference originating from transmit APs, we employ the space-time adaptive processing (STAP) technique and jointly optimize the transmit/receive beamforming. Our goal is to maximize the radar output signal-to-interference-plus-noise ratio (SINR), subject to the communication SINR requirements and the power budget. An efficient alternating algorithm is developed to solve the resulting non-convex optimization problem. Simulations demonstrate significant performance improvements in target detection and validate the advantages of the proposed joint STAP and beamforming design for cell-free ISAC systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_14642 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Joint Space-Time Adaptive Processing and Beamforming Design for Cell-Free ISAC Systems Liu, Rang Li, Ming Liu, Qian Signal Processing In this paper, we explore cooperative sensing and communication within cell-free integrated sensing and communication (ISAC) systems. Specifically, multiple transmit access points (APs) collaboratively serve multiple communication users while simultaneously illuminating a potential target, with a separate sensing AP dedicated to collecting echo signals for target detection. To improve the performance of identifying a moving target in the presence of strong interference originating from transmit APs, we employ the space-time adaptive processing (STAP) technique and jointly optimize the transmit/receive beamforming. Our goal is to maximize the radar output signal-to-interference-plus-noise ratio (SINR), subject to the communication SINR requirements and the power budget. An efficient alternating algorithm is developed to solve the resulting non-convex optimization problem. Simulations demonstrate significant performance improvements in target detection and validate the advantages of the proposed joint STAP and beamforming design for cell-free ISAC systems. |
| title | Joint Space-Time Adaptive Processing and Beamforming Design for Cell-Free ISAC Systems |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2410.14642 |