On the feasibility of using IEEE 802.11ad mmWave for accurate object detection
dc.contributor.author | Ajorloo, Hossein | |
dc.contributor.author | Sreenan, Cormac J. | |
dc.contributor.author | Loch, Adrian | |
dc.contributor.author | Widmer, Joerg | |
dc.contributor.funder | Horizon 2020 | en |
dc.contributor.funder | Science Foundation Ireland | en |
dc.date.accessioned | 2019-04-30T15:59:20Z | |
dc.date.available | 2019-04-30T15:59:20Z | |
dc.date.issued | 2019-04 | |
dc.date.updated | 2019-04-30T15:51:24Z | |
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.description.status | Peer reviewed | en |
dc.description.version | Accepted Version | en |
dc.format.mimetype | application/pdf | en |
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.endpage | 2413 | en |
dc.identifier.journaltitle | 34th ACM/SIGAPP Symposium On Applied Computing (SAC 2019) | en |
dc.identifier.startpage | 2406 | en |
dc.identifier.uri | https://hdl.handle.net/10468/7827 | |
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.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 |
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 |