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RIS-assisted Integrated Sensing and Communications: A Subspace Rotation Approach: Invited Paper

Meng, X; Liu, F; Lu, S; Chepuri, SP; Masouros, C; (2023) RIS-assisted Integrated Sensing and Communications: A Subspace Rotation Approach: Invited Paper. In: 2023 IEEE Radar Conference (RadarConf23). IEEE: San Antonio, TX, USA. Green open access

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Abstract

In this paper, we propose a novel joint active and passive beamforming approach for integrated sensing and communication (ISAC) transmission with assistance of reconfigurable intelligent surfaces (RISs) to simultaneously detect a target and communicate with a communication user. We first show that the sensing and communication (S&C) performance can be jointly improved due to the capability of the RISs to control the ISAC channel. In particular, we show that RISs can favourably enhance both the channel gain and the coupling degree of S&C channels by modifying the underlying subspaces. In light of this, we develop a heuristic algorithm that expands and rotates the S&C subspaces that is able to attain significantly improved ISAC performance. To verify the effectiveness of the subspace rotation scheme, we further provide a benchmark scheme which maximizes the signal-to-noise ratio (SNR) at the sensing receiver while guaranteeing the SNR at the communication user. Finally, numerical simulations are provided to validate the proposed approaches.

Type: Proceedings paper
Title: RIS-assisted Integrated Sensing and Communications: A Subspace Rotation Approach: Invited Paper
Event: 2023 IEEE Radar Conference (RadarConf23)
Dates: 1 May 2023 - 5 May 2023
ISBN-13: 9781665436694
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/RadarConf2351548.2023.10149664
Publisher version: http://dx.doi.org/10.1109/radarconf2351548.2023.10...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Target tracking, Array signal processing, Heuristic algorithms, Receivers, Radar, Performance gain, Radar tracking
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10185487
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