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Joint Space-Time Adaptive Processing and Beamforming Design for Cell-Free ISAC Systems

Guardat en:
Publicat a:arXiv.org (Oct 18, 2024), p. n/a
Autor principal: Liu, Rang
Altres autors: Li, Ming, Liu, Qian
Publicat:
Cornell University Library, arXiv.org
Matèries:
Algorithms
Performance enhancement
Adaptive systems
Beamforming
Design optimization
Convexity
Space-time adaptive processing
Moving targets
Target detection
Accés en línia:Citation/Abstract
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Resum: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.
ISSN:2331-8422
Font:Engineering Database