SCNR Maximization for MIMO ISAC Assisted by Fluid Antenna System

The integrated sensing and communication (ISAC) technology has been extensively researched to enhance communication rates and radar sensing capabilities. Additionally, a new technology known as fluid antenna system (FAS) has recently been proposed to obtain higher communication rates for future wireless networks by dynamically altering the antenna position to obtain a more favorable channel condition. The application of the FAS technology in ISAC scenarios holds significant research potential. In this paper, we investigate a FAS-assisted multiple-input multiple-output (MIMO) ISAC system for maximizing the radar sensing signal-clutter-noise ratio (SCNR) under communication signal-to-interference-plus-noise ratio (SINR) and antenna position constraints. We devise an iterative algorithm that tackles the optimization problem by maximizing a lower bound of SCNR with respect to the transmit precoding matrix and the antenna position. By addressing the non-convexity of the problem through this iterative approach, our method significantly improves the SCNR. Our simulation results demonstrate that the proposed scheme achieves a higher SCNR compared to the baselines.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-04-04
DOI
https://doi.org/10.1109/tvt.2025.3557859
Citations
12
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
13.74

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article

SCNR Maximization for MIMO ISAC Assisted by Fluid Antenna System

Kai‐Kit Wong, Hao Xu, Yuqi Ye, Ahmed Elzanaty et al.
12 citations
IEEE Transactions on Vehicular Technology
Underwater Vehicles and Communication Systems
13.74
article

SCNR Maximization for MIMO ISAC Assisted by Fluid Antenna System

Kai‐Kit Wong, Hao Xu, Yuqi Ye, Ahmed Elzanaty, Xiqi Gao, Li You
article en
12 citations

Abstract

The integrated sensing and communication (ISAC) technology has been extensively researched to enhance communication rates and radar sensing capabilities. Additionally, a new technology known as fluid antenna system (FAS) has recently been proposed to obtain higher communication rates for future wireless networks by dynamically altering the antenna position to obtain a more favorable channel condition. The application of the FAS technology in ISAC scenarios holds significant research potential. In this paper, we investigate a FAS-assisted multiple-input multiple-output (MIMO) ISAC system for maximizing the radar sensing signal-clutter-noise ratio (SCNR) under communication signal-to-interference-plus-noise ratio (SINR) and antenna position constraints. We devise an iterative algorithm that tackles the optimization problem by maximizing a lower bound of SCNR with respect to the transmit precoding matrix and the antenna position. By addressing the non-convexity of the problem through this iterative approach, our method significantly improves the SCNR. Our simulation results demonstrate that the proposed scheme achieves a higher SCNR compared to the baselines.

IEEE Transactions on Vehicular TechnologyVol. 74(8)
University of Surrey (GB), Torrington Hospital (GB), University College London (GB), Southeast University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Engineering and Physical Sciences Research Council, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 1%
Underwater Vehicles and Communication Systems
13.74
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