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Article: Channel Estimation and Pilot Design for Ambient Internet of Things With Frequency Offsets

TitleChannel Estimation and Pilot Design for Ambient Internet of Things With Frequency Offsets
Authors
Xu, YatingWang, GongpuXu, RongtaoLiu, YuanweiTellambura, ChinthaLiu, Bingcheng
KeywordsAmbient Internet of Things (A-IoT)
backscatter communication
channel estimation
frequency offsets
optimal pilot design
training sequence
Issue Date1-Jan-2025
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Vehicular Technology, 2025, v. 74, n. 3, p. 5125-5129 How to Cite?
DOI: http://dx.doi.org/10.1109/TVT.2024.3484759
Abstract

Recently backscatter communications and Ambient Internet of Things (A-IoT) arouse extensive interest from both academia and industry. One key parameter for A-IoT is frequency offset (FO), including carrier frequency offset (CFO) and sampling frequency offset (SFO), which is often neglected by existing studies. In this paper, we investigate the channel estimation and optimal pilot design for A-IoT with frequency offsets. Specifically, we first propose a joint FOs and channel estimator and then derive the corresponding Cramer-Rao Bounds (CRBs) for the channel estimates. We then suggest the optimal pilot design for the tag with on-off keying and binary phase shift keying modulation schemes. Finally, extensive numerical results are provided to corroborate our proposed studies.


Persistent Identifierhttp://hdl.handle.net/10722/362256
ISSN
0018-9545
2023 Impact Factor: 6.1
2023 SCImago Journal Rankings: 2.714

 

DC FieldValueLanguage
dc.contributor.authorXu, Yating-
dc.contributor.authorWang, Gongpu-
dc.contributor.authorXu, Rongtao-
dc.contributor.authorLiu, Yuanwei-
dc.contributor.authorTellambura, Chintha-
dc.contributor.authorLiu, Bingcheng-
dc.date.accessioned2025-09-20T00:31:07Z-
dc.date.available2025-09-20T00:31:07Z-
dc.date.issued2025-01-01-
dc.identifier.citationIEEE Transactions on Vehicular Technology, 2025, v. 74, n. 3, p. 5125-5129-
dc.identifier.issn0018-9545-
dc.identifier.urihttp://hdl.handle.net/10722/362256-
dc.description.abstract<p>Recently backscatter communications and Ambient Internet of Things (A-IoT) arouse extensive interest from both academia and industry. One key parameter for A-IoT is frequency offset (FO), including carrier frequency offset (CFO) and sampling frequency offset (SFO), which is often neglected by existing studies. In this paper, we investigate the channel estimation and optimal pilot design for A-IoT with frequency offsets. Specifically, we first propose a joint FOs and channel estimator and then derive the corresponding Cramer-Rao Bounds (CRBs) for the channel estimates. We then suggest the optimal pilot design for the tag with on-off keying and binary phase shift keying modulation schemes. Finally, extensive numerical results are provided to corroborate our proposed studies.</p>-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Vehicular Technology-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAmbient Internet of Things (A-IoT)-
dc.subjectbackscatter communication-
dc.subjectchannel estimation-
dc.subjectfrequency offsets-
dc.subjectoptimal pilot design-
dc.subjecttraining sequence-
dc.titleChannel Estimation and Pilot Design for Ambient Internet of Things With Frequency Offsets-
dc.typeArticle-
dc.identifier.doi10.1109/TVT.2024.3484759-
dc.identifier.scopuseid_2-s2.0-105001068352-
dc.identifier.volume74-
dc.identifier.issue3-
dc.identifier.spage5125-
dc.identifier.epage5129-
dc.identifier.eissn1939-9359-
dc.identifier.issnl0018-9545-

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