Integrated Communication and RIS-Aided Track-Before-Detect Radar Sensing

This paper investigates an integrated sensing and communication system where the base station serves multiple downlink users, while employing a passive reconfigurable intelligent surface to detect small, noncooperative airborne targets. We propose a method to design the two-way beampattern of the RI...

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Main Authors: Georgios Mylonopoulos, Luca Venturino, Emanuele Grossi, Stefano Buzzi, Ciro D'Elia
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11008547/
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author Georgios Mylonopoulos
Luca Venturino
Emanuele Grossi
Stefano Buzzi
Ciro D'Elia
author_facet Georgios Mylonopoulos
Luca Venturino
Emanuele Grossi
Stefano Buzzi
Ciro D'Elia
author_sort Georgios Mylonopoulos
collection DOAJ
description This paper investigates an integrated sensing and communication system where the base station serves multiple downlink users, while employing a passive reconfigurable intelligent surface to detect small, noncooperative airborne targets. We propose a method to design the two-way beampattern of the RIS-assisted monostatic radar, which allows controlling the sidelobe levels in the presence of eavesdroppers, jammers, and other scattering objects and avoiding any radar interference to the users. To obtain more favorable system tradeoffs, we exploit the correlation of the target echoes over consecutive scans by resorting to a multi-frame radar detector, which includes a detector, a plot-extractor, and a track-before-detect processor. A numerical analysis is provided to verify the effectiveness of the proposed solutions and to assess the achievable tradeoffs. Our results show that, by increasing the number of scans processed by the radar detector (and therefore its implementation complexity), we can reduce the amount of power dedicated to the radar function while maintaining the same sensing performance (measured in terms of probability of target detection and root mean square error in the estimation of target position); this excess power can be reused to increase the user sum-rate.
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publishDate 2025-01-01
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spelling doaj-art-b0e0705def994cd78dfc1d43666ca87f2025-08-20T03:19:17ZengIEEEIEEE Open Journal of the Communications Society2644-125X2025-01-0164519453210.1109/OJCOMS.2025.357208111008547Integrated Communication and RIS-Aided Track-Before-Detect Radar SensingGeorgios Mylonopoulos0https://orcid.org/0009-0009-3004-7823Luca Venturino1https://orcid.org/0000-0002-7742-4835Emanuele Grossi2https://orcid.org/0000-0002-5417-7595Stefano Buzzi3https://orcid.org/0000-0003-0046-8968Ciro D'Elia4Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, Cassino, ItalyDepartment of Electrical and Information Engineering, University of Cassino and Southern Lazio, Cassino, ItalyDepartment of Electrical and Information Engineering, University of Cassino and Southern Lazio, Cassino, ItalyDepartment of Electrical and Information Engineering, University of Cassino and Southern Lazio, Cassino, ItalyDepartment of Electrical and Information Engineering, University of Cassino and Southern Lazio, Cassino, ItalyThis paper investigates an integrated sensing and communication system where the base station serves multiple downlink users, while employing a passive reconfigurable intelligent surface to detect small, noncooperative airborne targets. We propose a method to design the two-way beampattern of the RIS-assisted monostatic radar, which allows controlling the sidelobe levels in the presence of eavesdroppers, jammers, and other scattering objects and avoiding any radar interference to the users. To obtain more favorable system tradeoffs, we exploit the correlation of the target echoes over consecutive scans by resorting to a multi-frame radar detector, which includes a detector, a plot-extractor, and a track-before-detect processor. A numerical analysis is provided to verify the effectiveness of the proposed solutions and to assess the achievable tradeoffs. Our results show that, by increasing the number of scans processed by the radar detector (and therefore its implementation complexity), we can reduce the amount of power dedicated to the radar function while maintaining the same sensing performance (measured in terms of probability of target detection and root mean square error in the estimation of target position); this excess power can be reused to increase the user sum-rate.https://ieeexplore.ieee.org/document/11008547/Integrated sensing and communication (ISAC)reconfigurable intelligent surface (RIS)track-before-detect (TBD)multi-frame detectionorthogonal frequency division multiplexing (OFDM)
spellingShingle Georgios Mylonopoulos
Luca Venturino
Emanuele Grossi
Stefano Buzzi
Ciro D'Elia
Integrated Communication and RIS-Aided Track-Before-Detect Radar Sensing
IEEE Open Journal of the Communications Society
Integrated sensing and communication (ISAC)
reconfigurable intelligent surface (RIS)
track-before-detect (TBD)
multi-frame detection
orthogonal frequency division multiplexing (OFDM)
title Integrated Communication and RIS-Aided Track-Before-Detect Radar Sensing
title_full Integrated Communication and RIS-Aided Track-Before-Detect Radar Sensing
title_fullStr Integrated Communication and RIS-Aided Track-Before-Detect Radar Sensing
title_full_unstemmed Integrated Communication and RIS-Aided Track-Before-Detect Radar Sensing
title_short Integrated Communication and RIS-Aided Track-Before-Detect Radar Sensing
title_sort integrated communication and ris aided track before detect radar sensing
topic Integrated sensing and communication (ISAC)
reconfigurable intelligent surface (RIS)
track-before-detect (TBD)
multi-frame detection
orthogonal frequency division multiplexing (OFDM)
url https://ieeexplore.ieee.org/document/11008547/
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AT emanuelegrossi integratedcommunicationandrisaidedtrackbeforedetectradarsensing
AT stefanobuzzi integratedcommunicationandrisaidedtrackbeforedetectradarsensing
AT cirodelia integratedcommunicationandrisaidedtrackbeforedetectradarsensing