ISAC system assisted by RIS with sparse active elements

EURASIP Journal on Advances in Signal Processing

Research

Yimin D. Zhang¹  Mirza Asif Haider¹  Elias Aboutanios² 

[1] Department of Electrical and Computer Engineering, Temple University, Philadelphia, USA;School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, Australia;

关键词: Intelligent reflecting surface;    Integrated sensing and communications;    Sparse array;    Structured matrix completion;    Direction-of-arrival estimation;   

DOI  :  10.1186/s13634-023-00977-5

 received in 2022-09-13, accepted in 2023-01-16,  发布年份 2023

来源: Springer

【 摘 要 】

In this paper, we consider an integrated sensing and communications system assisted by a reconfigurable intelligent surface (RIS). A small number of sparsely placed active sensors are applied in the RIS to perform effective channels and, thereby, enable optimized beamforming for both communications and sensing objectives, namely, establishing reliable communication links with communication users (CUs) and effectively localize targets. The time-varying multipath channels between the RIS and the CU as well as the time-varying channel between the RIS and the targets are estimated by exploiting an interpolated Hermitian and Toeplitz covariance matrix followed by direction-of-arrival estimation using the MUSIC algorithm. Based on such results, we jointly optimize the transmit beamformer at the base station and the unit-modulus RIS passive beamformer. The RIS beamformer is optimized to maximize its minimum beam-pattern gain towards the desired sensing angles subject to the minimum signal-to-noise ratio requirement at the CU. Simulation results verify the effectiveness of the proposed approach, and the performance of different sparse array configurations is compared.

【 授权许可】

CC BY   
© The Author(s) 2023

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