CSI-Ratio-Based Doppler Frequency Estimation in Integrated Sensing and Communications

Li, X; Zhang, JA; Wu, K; Cui, Y; Jing, X

CSI-Ratio-Based Doppler Frequency Estimation in Integrated Sensing and Communications

Li, X Zhang, JA Wu, K

Cui, Y Jing, X

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Sensors Journal, 2022, 22, (21), pp. 20886-20895
Issue Date:: 2022-11-01

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Field	Value	Language
dc.contributor.author	Li, X
dc.contributor.author	Zhang, JA
dc.contributor.author	Wu, K https://orcid.org/0000-0003-1298-6404
dc.contributor.author	Cui, Y
dc.contributor.author	Jing, X
dc.date.accessioned	2023-01-16T04:31:20Z
dc.date.available	2023-01-16T04:31:20Z
dc.date.issued	2022-11-01
dc.identifier.citation	IEEE Sensors Journal, 2022, 22, (21), pp. 20886-20895
dc.identifier.issn	1530-437X
dc.identifier.issn	1558-1748
dc.identifier.uri	http://hdl.handle.net/10453/165007
dc.description.abstract	Estimating the Doppler frequency is an important part of sensing moving targets in integrated sensing and communications (ISAC) systems, such as human tracking and activity recognition. However, it can be highly challenging when there is clock asynchronism between the transmitter (Tx) and the receiver (Rx), in bistatic setups that are common nowadays. In this article, we propose three algorithms for Doppler frequency estimation based on the ratio of channel state information (CSI). These algorithms explore different properties of the CSI ratio, including the circle-preserving property of the Mobius transform, the periodicity of the CSI ratio, and the difference (or correlation) between segments of CSI-ratio signals. Experimental results demonstrate that the proposed algorithms can estimate Doppler frequency accurately, outperforming the commonly used approach based on cross-antenna cross correlation (CACC).
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation	http://purl.org/au-research/grants/arc/DP210101411
dc.relation.ispartof	IEEE Sensors Journal
dc.relation.isbasedon	10.1109/JSEN.2022.3208272
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0205 Optical Physics, 0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering
dc.subject.classification	Analytical Chemistry
dc.title	CSI-Ratio-Based Doppler Frequency Estimation in Integrated Sensing and Communications
dc.type	Journal Article
utslib.citation.volume	22
utslib.for	0205 Optical Physics
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
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
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2024-09-27T00:00:00+1000Z
dc.date.updated	2023-01-16T04:31:14Z
pubs.issue	21
pubs.publication-status	Published
pubs.volume	22
utslib.citation.issue	21

Abstract:

Estimating the Doppler frequency is an important part of sensing moving targets in integrated sensing and communications (ISAC) systems, such as human tracking and activity recognition. However, it can be highly challenging when there is clock asynchronism between the transmitter (Tx) and the receiver (Rx), in bistatic setups that are common nowadays. In this article, we propose three algorithms for Doppler frequency estimation based on the ratio of channel state information (CSI). These algorithms explore different properties of the CSI ratio, including the circle-preserving property of the Mobius transform, the periodicity of the CSI ratio, and the difference (or correlation) between segments of CSI-ratio signals. Experimental results demonstrate that the proposed algorithms can estimate Doppler frequency accurately, outperforming the commonly used approach based on cross-antenna cross correlation (CACC).

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http://hdl.handle.net/10453/165007