Circular RIS-Enabled Channel Estimation and Localization for Multi-User ISAC Systems

被引：1
|
作者：
Lin, Yuxing [1 ]
Jin, Shi [1 ]
Matthaiou, Michail [2 ]
Yi, Xinping [1 ]
机构：
[1] Southeast University, National Mobile Communications Research Laboratory, Nanjing,210096, China
[2] Queen's University Belfast, Centre for Wireless Innovation (CWI), Belfast,BT3 9DT, United Kingdom
来源：
IEEE Transactions on Wireless Communications | 2024年 / 23卷 / 08期
关键词：
Integrated sensing and communication (ISAC) is emerging as a key enabler to address the increasing demands of spectrum and throughput for ubiquitous sensing and communication. Hereafter; we consider the channel estimation and localization for multi-user ISAC systems assisted by the reconfigurable intelligent surface (RIS) technology. In order to acquire precise environmental information; we propose a novel circular RIS architecture with circularly arranged reflecting unit cells. By modeling the training signal as a low-rank third-order canonical polyadic tensor; we transform the channel estimation problem into a tensor deconstruction task. By leveraging the phase mode excitation principle; we develop a customized RIS training pattern; and retrieve the equivalent channel parameters by subspace estimation algorithms. By exploring the characteristics of RIS array manifolds and free-space propagation; we implement a unique decoupling of channel parameters for user localization; which cannot be supported by traditional linear RIS topologies. Moreover; the design degrees of freedom in the spatial and frequency dimensions are also exploited to further enhance the proposed algorithms. Simulation results indicate that the circular RIS-enabled channel estimation schemes can recover the propagation information with remarkable accuracy; thereby offering a high-level resolution of localization. © 2002-2012 IEEE;
D O I：
10.1109/TWC.2024.3353858
中图分类号：
学科分类号：
摘要：
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页码：8730 / 8743
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