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On Target Detection in the Presence of Clutter in Joint Communication and Sensing Cellular Networks
Ericsson Research, Finland.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). Ericsson Research, Sweden; KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0002-2289-3159
2023 (English)In: 2023 16th International Conference on Signal Processing and Communication System, ICSPCS 2023 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE) , 2023Conference paper, Published paper (Refereed)
Abstract [en]

Recent works on joint communication and sensing (JCAS) cellular networks have proposed to use time division mode (TDM) and concurrent mode (CM), as alternative methods for sharing the resources between communication and sensing signals. While the performance of these JCAS schemes for object tracking and parameter estimation has been studied in previous works, their performance on target detection in the presence of clutter has not been analyzed. In this paper, we propose a detection scheme for estimating the number of targets in JCAS cellular networks that employ TDM or CM resource sharing. The proposed detection method allows for the presence of clutter and/or temporally correlated noise. This scheme is studied with respect to the JCAS trade-off parameters that allow to control the time slots in TDM and the power resources in CM allocated to sensing and communications. The performance of two fundamental transmit beamforming schemes, typical for JCAS, is compared in terms of the receiver operating characteristics curves. Our results indicate that in general the TDM scheme gives a somewhat better detection performance compared to the CM scheme, although both schemes outperform existing approaches provided that their respective trade-off parameters are tuned properly.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023.
Keywords [en]
Beamforming, clutter, correlated noise detection, joint communication and sensing, parameter estimation
National Category
Signal Processing Communication Systems Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-339291DOI: 10.1109/ICSPCS58109.2023.10261147Scopus ID: 2-s2.0-85174518495OAI: oai:DiVA.org:kth-339291DiVA, id: diva2:1809925
Conference
16th International Conference on Signal Processing and Communication System, ICSPCS 2023, Bydgoszcz, Poland, Sep 6 2023 - Sep 8 2023
Note

Part of ISBN 9798350333510

QC 20231106

Available from: 2023-11-06 Created: 2023-11-06 Last updated: 2023-11-06Bibliographically approved

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Fodor, Gabor

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