Optimized Detection with Analog Beamforming for Monostatic Integrated Sensing and Communication
<|reference_start|>Optimized Detection with Analog Beamforming for Monostatic Integrated Sensing and Communication: 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.<|reference_end|>
@article{hernangómez2024optimized,
    title={Optimized Detection with Analog Beamforming for Monostatic Integrated
  Sensing and Communication},
    author={Rodrigo Hernang'omez, Jochen Fink, Renato L.G. Cavalcante, Zoran
  Utkovski, S{l}awomir Sta'nczak},
    journal={arXiv preprint arXiv:2404.08455},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.08455},
    primaryClass={eess.SP cs.IT math.IT}
}