Hybrid beamforming for ISAC based on mmWave cell-free MIMO

\nAiming at the scarcity of communication spectrum resources and the advantages of cell-free MIMO in resource utilization, a millimeter-wave cell-free MIMO-ISAC system is proposed. In this system, while the base station provides services for users, the multi-antenna user equipment can actively detect multiple targets. The research goal is to design analog and digital beamformers to optimize the weighted sum of communication and radar beamforming errors. Two kinds of power constraints are considered in the study, and the improved orthogonal matching pursuit algorithm and the Riemann conjugate gradient algorithm are used for optimization. Through the simulation analysis of the communication spectrum efficiency and the radar beam pattern, the results show that the hybrid beam scheme can achieve a compromise performance in terms of spectrum utilization and beam pointing, and this scheme has potential application prospects for improving system performance.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-12-06
DOI
https://doi.org/10.1051/jnwpu/20244250903/pdf
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
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article

Hybrid beamforming for ISAC based on mmWave cell-free MIMO

Springer Link (Chiba Institute of Technology)
Radar Systems and Signal Processing
article

Hybrid beamforming for ISAC based on mmWave cell-free MIMO

article en

Abstract

\nAiming at the scarcity of communication spectrum resources and the advantages of cell-free MIMO in resource utilization, a millimeter-wave cell-free MIMO-ISAC system is proposed. In this system, while the base station provides services for users, the multi-antenna user equipment can actively detect multiple targets. The research goal is to design analog and digital beamformers to optimize the weighted sum of communication and radar beamforming errors. Two kinds of power constraints are considered in the study, and the improved orthogonal matching pursuit algorithm and the Riemann conjugate gradient algorithm are used for optimization. Through the simulation analysis of the communication spectrum efficiency and the radar beam pattern, the results show that the hybrid beam scheme can achieve a compromise performance in terms of spectrum utilization and beam pointing, and this scheme has potential application prospects for improving system performance.\n

Springer Link (Chiba Institute of Technology)
Decent work and economic growth
Openalex Percentile: Top 46%
Radar Systems and Signal Processing
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