Multi-User Tracking in Reconfigurable Intelligent Surface Aided Near-Field Wireless Communications System
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Published:2023-12-25
Issue:1
Volume:14
Page:205
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ISSN:2076-3417
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Container-title:Applied Sciences
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language:en
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Short-container-title:Applied Sciences
Author:
Mei Yidan1, Wang Rui12, Liu Erwu1, Soto Ismael3ORCID
Affiliation:
1. College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China 2. Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 201804, China 3. Department of Electrical Engineering, University of Santiago, Santiago 92161, Chile
Abstract
An uplink multi-user tracking problem aided by multiple passive reconfigurable intelligent surfaces (RISs) is addressed in this work. Under a near-field circumstance, a multi-antenna base station (BS) localizes multiple moving single-antenna users by processing the received signals transmitted by users and reflected by RISs. Considering the users’ mobility and the potential obstruction of line-of-sight paths, a multi-user tracking system based on the extended Kalman filter (EKF) which fully exploits the temporal correlations between each user’s coordinate changes is designed. Then, the Bayesian Cramér–Rao bound (BCRB) of tracking errors is derived in a pattern consistent with the EKF process. Subsequently, an optimization scheme for passive phase shift design at the RISs is devised by minimizing the derived BCRB and is solved using the Gradient Descent method. Numerical results indicate that the accuracy of our tracking algorithm can approach the BCRB. With abundant RISs deployed and optimized, high-precision multi-user tracking via a single BS can be realized even in harsh localization environments.
Funder
National Natural Science Foundation of China the Natural Science Foundation of Shanghai
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
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