On the feasibility of using IEEE 802.11ad mmWave for accurate object detection

Show simple item record

dc.contributor.author Ajorloo, Hossein
dc.contributor.author Sreenan, Cormac J.
dc.contributor.author Loch, Adrian
dc.contributor.author Widmer, Joerg
dc.date.accessioned 2019-04-30T15:59:20Z
dc.date.available 2019-04-30T15:59:20Z
dc.date.issued 2019-04
dc.identifier.citation Ajorloo, H., Sreenan, C. J., Loch, A. and Widmer, J. (2019) 'On the Feasibility of Using IEEE 802.11ad mmWave for Accurate Object Detection', 34th ACM/SIGAPP Symposium On Applied Computing (SAC 2019) Limassol, Cyprus, 8-12 April. en
dc.identifier.startpage 2406 en
dc.identifier.endpage 2413 en
dc.identifier.uri http://hdl.handle.net/10468/7827
dc.description.abstract Millimeter wave (mmWave) bands are considered highly for localization and object detection. In this paper we assess the potential of commercial IEEE 802.11ad mmWave equipment to offer accurate object detection, ultimately providing models of the physical environment. Unlike solutions using bespoke mmWave equipment for detection, the use of IEEE 802.11ad ensures a low-cost system, and one in which detection can be integrated with communication, creating potential for innovative applications. Our approach is to build a laboratory testbed in which we capture reflected mmWave signals that are generated and transmitted by a commercial off-the-shelf (COTS) IEEE 802.11ad mmWave device. From the measured channel impulse response, we measured the distance from the mmWave transceiver to the objects in the environment, by some simple signal processing techniques. By knowing the angle of mmWave departure/arrival and this measured distance, we can develop a 2D model of the physical environment. We report on the achieved accuracy, which is 2cm in most experiments, and discuss technology limitations and research opportunities. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Association for Computing Machinery ACM en
dc.relation.ispartof 34th ACM/SIGAPP Symposium On Applied Computing (SAC 2019)
dc.rights © 2019 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. en
dc.subject mmWave en
dc.subject IEEE 802.11ad en
dc.subject Radar detection en
dc.subject Channel impulse response en
dc.subject 60 GHz communication en
dc.subject 5G en
dc.title On the feasibility of using IEEE 802.11ad mmWave for accurate object detection en
dc.type Conference item en
dc.internal.authorcontactother Hossein Ajorloo, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: hossein.ajorloo@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2019-04-30T15:51:24Z
dc.description.version Accepted Version en
dc.internal.rssid 483476375
dc.contributor.funder Horizon 2020 en
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle 34th ACM/SIGAPP Symposium On Applied Computing (SAC 2019) en
dc.internal.copyrightchecked No !!CORA!!
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Limassol, Cyprus en
dc.internal.IRISemailaddress c.sreenan@cs.ucc.ie en
dc.internal.IRISemailaddress hossein.ajorloo@ucc.ie en
dc.internal.bibliocheck Forthcoming. Find publication details. Update relation.URL, citation, rights statement, add doi, issn/ isbn, vol. issue, update page nos. en
dc.relation.project info:eu-repo/grantAgreement/EC/H2020::MSCA-COFUND-FP/713567/EU/Cutting Edge Training - Cutting Edge Technology/EDGE en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/ en


Files in this item

This item appears in the following Collection(s)

Show simple item record

This website uses cookies. By using this website, you consent to the use of cookies in accordance with the UCC Privacy and Cookies Statement. For more information about cookies and how you can disable them, visit our Privacy and Cookies statement