A Low-Complexity CSI-Based Wifi Sensing Scheme for LoS-Dominant Scenarios

Wu, K; Zhang, JA; Huang, X; Guo, YJ

A Low-Complexity CSI-Based Wifi Sensing Scheme for LoS-Dominant Scenarios

Wu, K Zhang, JA Huang, X

Guo, YJ

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: ICC 2023 - IEEE International Conference on Communications, 2023, 2023-May, pp. 2747-2752
Issue Date:: 2023-10-23

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Field	Value	Language
dc.contributor.author	Wu, K
dc.contributor.author	Zhang, JA
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732
dc.contributor.author	Guo, YJ
dc.date	2023-05-28
dc.date.accessioned	2024-05-03T03:27:11Z
dc.date.available	2024-05-03T03:27:11Z
dc.date.issued	2023-10-23
dc.identifier.citation	ICC 2023 - IEEE International Conference on Communications, 2023, 2023-May, pp. 2747-2752
dc.identifier.isbn	9781538674628
dc.identifier.issn	1550-3607
dc.identifier.uri	http://hdl.handle.net/10453/178590
dc.description.abstract	Integrating sensing into wifi platforms referred to as wifi sensing provides an efficient and device free means for indoor monitoring localization with low cost Clock asynchrony is one of the most challenging issues in wifi sensing A mainstream solution to date employs cross antenna processing to suppress the clock offsets that are common to all antennas Such methods however may suffer from issues such as mirrored targets and noise enhancement etc This paper develops a novel wifi sensing scheme It embodies accurate and low complexity methods for estimating the timing and frequency offsets as well as the angle of arrival AoA all from the LoS path It also involves a coherent Doppler processing method which effectively suppresses static paths and accurately estimates the Doppler by enjoying the coherent processing gain Corroborated by experimental results using open Widar2 0 data the proposed design is able to precisely recover the velocity traces in various indoor scenarios
dc.language	en
dc.publisher	IEEE
dc.relation	http://purl.org/au-research/grants/arc/DP210101411
dc.relation.ispartof	ICC 2023 - IEEE International Conference on Communications
dc.relation.ispartof	ICC 2023 - IEEE International Conference on Communications
dc.relation.ispartofseries	International Conference on Communications (ICC)
dc.relation.isbasedon	10.1109/icc45041.2023.10279247
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A Low-Complexity CSI-Based Wifi Sensing Scheme for LoS-Dominant Scenarios
dc.type	Conference Proceeding
utslib.citation.volume	2023-May
utslib.location.activity	Rome, Italy
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	closed_access	*
dc.date.updated	2024-05-03T03:27:09Z
pubs.finish-date	2023-06-01
pubs.publication-status	Published
pubs.start-date	2023-05-28
pubs.volume	2023-May

Abstract:

Integrating sensing into wifi platforms referred to as wifi sensing provides an efficient and device free means for indoor monitoring localization with low cost Clock asynchrony is one of the most challenging issues in wifi sensing A mainstream solution to date employs cross antenna processing to suppress the clock offsets that are common to all antennas Such methods however may suffer from issues such as mirrored targets and noise enhancement etc This paper develops a novel wifi sensing scheme It embodies accurate and low complexity methods for estimating the timing and frequency offsets as well as the angle of arrival AoA all from the LoS path It also involves a coherent Doppler processing method which effectively suppresses static paths and accurately estimates the Doppler by enjoying the coherent processing gain Corroborated by experimental results using open Widar2 0 data the proposed design is able to precisely recover the velocity traces in various indoor scenarios

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http://hdl.handle.net/10453/178590