Optimized Detection with Analog Beamforming for Monostatic Integrated Sensing and Communication
arxiv(2024)
摘要
In this paper, we formalize an optimization framework for analog beamforming
in the context of monostatic integrated sensing and communication (ISAC), where
we also address the problem of self-interference in the analog domain. As a
result, we derive semidefinite programs to approach detection-optimal transmit
and receive beamformers, and we devise a superiorized iterative projection
algorithm to approximate them. Our simulations show that this approach
outperforms the detection performance of well-known design techniques for ISAC
beamforming, while it achieves satisfactory self-interference suppression.
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