Integrated Sensing and Communications With Mixed Fields Using Transmit Beamforming

Xiao, Yun; Wang, Enhao; Chen, Yunfei; Chen, Li; Ikhlef, Aissa; Sun, Hongjian

Abstract

Integrated sensing and communications (ISAC) is an important enabling technology for the next-generation wireless systems. Owing to the use of large-scale antenna arrays and/or high carrier frequencies, the communications user and the target may follow different propagation models. However, most existing works assume either far-field or near-field propagation models for both communications and sensing. In this work, a realistic case is considered when the communications user and the target are in different fields. New beamforming designs are proposed to optimize the sensing performance considering a bi-static setting. Specifically, the sensing signal-to-clutter-plus-noise ratio (SCNR) is optimized, and a generalized iterative algorithm is proposed to solve the optimization problem. Numerical results show the effects of model mismatch between near-field and far-field, antenna size and communications channel on the sensing performance.

Citation

Xiao, Y., Wang, E., Chen, Y., Chen, L., Ikhlef, A., & Sun, H. (online). Integrated Sensing and Communications With Mixed Fields Using Transmit Beamforming. IEEE Wireless Communications Letters, https://doi.org/10.1109/lwc.2024.3521186

• Journal Article Type: Article
• Acceptance Date: Dec 17, 2024
• Online Publication Date: Dec 23, 2024
• Deposit Date: Jan 2, 2025
• Publicly Available Date: Jan 2, 2025
• Journal: IEEE Wireless Communications Letters
• Print ISSN: 2162-2337
• Electronic ISSN: 2162-2345
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/lwc.2024.3521186
• Public URL: https://durham-repository.worktribe.com/output/3314852