Performance Bounds for CSI-Ratio Based Bi-Static Doppler Sensing in ISAC Systems

Hu, Y; Wu, K; Zhang, JA; Deng, W; Guo, YJ

Performance Bounds for CSI-Ratio Based Bi-Static Doppler Sensing in ISAC Systems

Hu, Y Wu, K Zhang, JA Deng, W Guo, YJ

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: 2024 IEEE International Conference on Communications Workshops, ICC Workshops 2024, 2024, 00, pp. 1535-1540
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Hu, Y
dc.contributor.author	Wu, K
dc.contributor.author	Zhang, JA
dc.contributor.author	Deng, W
dc.contributor.author	Guo, YJ
dc.date	2024-06-09
dc.date.accessioned	2024-09-05T11:05:16Z
dc.date.available	2024-09-05T11:05:16Z
dc.date.issued	2024-01-01
dc.identifier.citation	2024 IEEE International Conference on Communications Workshops, ICC Workshops 2024, 2024, 00, pp. 1535-1540
dc.identifier.uri	http://hdl.handle.net/10453/180714
dc.description.abstract	Bi-static sensing is crucial for exploring the potential of networked sensing capabilities in integrated sensing and communications (ISAC). However, it suffers from the challenging clock asynchronism issue. CSI ratio-based sensing is an effective means to address the issue. Its performance bounds, particular for Doppler sensing, have not been fully understood yet. This work endeavors to fill the research gap. Focusing on a single dynamic path in high-SNR scenarios, we derive the closed-form Cramér-Rao bounds (CRB). Then, through analyzing the mutual interference between dynamic and static paths, we simplify the CRB results by deriving close approximations, further unveiling new insights of the impact of numerous physical parameters on Doppler sensing. Extensive simulation results are provided to validate the preciseness of the derived CRB results and analyses, with the aid of the maximum-likelihood estimator.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	2024 IEEE International Conference on Communications Workshops, ICC Workshops 2024
dc.relation.ispartof	2024 IEEE International Conference on Communications Workshops (ICC Workshops)
dc.relation.isbasedon	10.1109/ICCWorkshops59551.2024.10615852
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Performance Bounds for CSI-Ratio Based Bi-Static Doppler Sensing in ISAC Systems
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	University of Technology Sydney/All Manual Groups
pubs.organisational-group	University of Technology Sydney/All Manual Groups/Global Big Data Technologies Research Centre (GBDTC)
utslib.copyright.status	closed_access	*
dc.date.updated	2024-09-05T11:05:14Z
pubs.finish-date	2024-06-13
pubs.publication-status	Published
pubs.start-date	2024-06-09
pubs.volume	00

Abstract:

Bi-static sensing is crucial for exploring the potential of networked sensing capabilities in integrated sensing and communications (ISAC). However, it suffers from the challenging clock asynchronism issue. CSI ratio-based sensing is an effective means to address the issue. Its performance bounds, particular for Doppler sensing, have not been fully understood yet. This work endeavors to fill the research gap. Focusing on a single dynamic path in high-SNR scenarios, we derive the closed-form Cramér-Rao bounds (CRB). Then, through analyzing the mutual interference between dynamic and static paths, we simplify the CRB results by deriving close approximations, further unveiling new insights of the impact of numerous physical parameters on Doppler sensing. Extensive simulation results are provided to validate the preciseness of the derived CRB results and analyses, with the aid of the maximum-likelihood estimator.

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http://hdl.handle.net/10453/180714