Multiple-Target Doppler Frequency Estimation in ISAC With Clock Asynchronism

Zhao, J; Lu, Z; Zhang, JA; Dong, S; Zhou, S

Multiple-Target Doppler Frequency Estimation in ISAC With Clock Asynchronism

Zhao, J Lu, Z Zhang, JA Dong, S Zhou, S

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Vehicular Technology, 2024, 73, (1), pp. 1382-1387
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Zhao, J
dc.contributor.author	Lu, Z
dc.contributor.author	Zhang, JA
dc.contributor.author	Dong, S
dc.contributor.author	Zhou, S
dc.date.accessioned	2024-08-07T04:23:50Z
dc.date.available	2024-08-07T04:23:50Z
dc.date.issued	2024-01-01
dc.identifier.citation	IEEE Transactions on Vehicular Technology, 2024, 73, (1), pp. 1382-1387
dc.identifier.issn	0018-9545
dc.identifier.issn	1939-9359
dc.identifier.uri	http://hdl.handle.net/10453/180182
dc.description.abstract	Doppler frequency estimation is a challenging problem in integrated sensing and communication systems with clock asynchronism between transmitter and sensing receiver. Existing techniques have various limitations and are generally ineffective in multi-target sensing. In this correspondence, we propose an array-based scheme for multiple-target Doppler frequency estimation. We first develop a novel algorithm for angle-of-arrival (AoA) estimation, and then use the estimated AoA to construct orthogonal projections to separate static paths and each dynamic path for clock asynchronism compensation and Doppler frequency estimation. Simulation and experiment results are provided and demonstrate that the proposed scheme is effective in multiple-target scenarios, and its accuracy outperforms some state-of-the-art methods in single-target scenarios.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Vehicular Technology
dc.relation.isbasedon	10.1109/TVT.2023.3301589
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 10 Technology
dc.subject.classification	Automobile Design & Engineering
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.title	Multiple-Target Doppler Frequency Estimation in ISAC With Clock Asynchronism
dc.type	Journal Article
utslib.citation.volume	73
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	10 Technology
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	in_progress	*
dc.date.updated	2024-08-07T04:23:49Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	73
utslib.citation.issue	1

Abstract:

Doppler frequency estimation is a challenging problem in integrated sensing and communication systems with clock asynchronism between transmitter and sensing receiver. Existing techniques have various limitations and are generally ineffective in multi-target sensing. In this correspondence, we propose an array-based scheme for multiple-target Doppler frequency estimation. We first develop a novel algorithm for angle-of-arrival (AoA) estimation, and then use the estimated AoA to construct orthogonal projections to separate static paths and each dynamic path for clock asynchronism compensation and Doppler frequency estimation. Simulation and experiment results are provided and demonstrate that the proposed scheme is effective in multiple-target scenarios, and its accuracy outperforms some state-of-the-art methods in single-target scenarios.

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http://hdl.handle.net/10453/180182