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RIS-Assisted ISAC: Precoding and Phase-Shift Optimization for Mono-Static Target Detection
TOBB University of Economics and Technology, Department of Electrical-Electronics Engineering, Ankara, Türkiye.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0002-5954-434X
2024 (English)In: GLOBECOM 2024 - 2024 IEEE Global Communications Conference, Institute of Electrical and Electronics Engineers (IEEE) , 2024, p. 5423-5428Conference paper, Published paper (Refereed)
Abstract [en]

The reconfigurable intelligent surface (RIS) technology emerges as a highly useful component of the rapidly evolving integrated sensing and communications paradigm, primarily owing to its remarkable signal-to-noise ratio enhancement capabilities. In this paper, our focus is on mono-static target detection while considering the communication requirement of a user equipment. Both sensing and communication benefit from the presence of an RIS, which makes the channels richer and stronger. Diverging from prior research, we comprehensively examine three target echo paths: the direct (static) channel path, the path via the RIS, and a combination of these, each characterized by distinct radar cross sections (RCSs). We take both the line-of-sight (LOS) and the non-line-of-sight (NLOS) paths into account under a clutter for which the distribution is not known, but the low-rank subspace it resides. We derive the generalized likelihood ratio test (GLRT) detector and introduce a novel approach for jointly optimizing the configuration of RIS phase-shifts and precoding. Our simulation results underscore the paramount importance of this combined design in terms of enhancing detection probability. Moreover, it becomes evident that the derived clutter-aware target detection significantly enhances detection performance, especially when the clutter is strong.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024. p. 5423-5428
Keywords [en]
Integrated sensing and communications, mono-static sensing, reconfigurable intelligent surface
National Category
Signal Processing Telecommunications Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-361986DOI: 10.1109/GLOBECOM52923.2024.10901685ISI: 001511158700900Scopus ID: 2-s2.0-105000822495OAI: oai:DiVA.org:kth-361986DiVA, id: diva2:1949659
Conference
2024 IEEE Global Communications Conference, GLOBECOM 2024, Cape Town, South Africa, December 8-12, 2024
Note

Part of ISBN 9798350351255

QC 20250409

Available from: 2025-04-03 Created: 2025-04-03 Last updated: 2025-12-08Bibliographically approved

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Björnson, Emil

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  • apa
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