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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-24298
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dc.contributor.authorDumphart, Gregor-
dc.contributor.authorKramer, Robin-
dc.contributor.authorHeyn, Robert-
dc.contributor.authorKuhn, Marc-
dc.contributor.authorWittneben, Armin-
dc.date.accessioned2022-03-01T08:15:37Z-
dc.date.available2022-03-01T08:15:37Z-
dc.date.issued2022-02-
dc.identifier.issn1053-587Xde_CH
dc.identifier.issn1941-0476de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/24298-
dc.description​© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.de_CH
dc.description.abstractWe consider the problem of localization and distance estimation between a pair of wireless nodes in a multipath propagation environment, but not the usual way of processing a channel measurement between them. We propose a novel paradigm which compares the two nodes’ ultra-wideband (UWB) channels to other nodes, called observers. The main idea is that the dissimilarity between the channel impulse responses (CIRs) increases with d and allows for an estimate d_hat. Our approach relies on extracting common multipath components (MPCs) from the CIRs. This is realistic in indoor or urban scenarios and if d is considerably smaller than the distances to the observers. We present distance estimators which utilize the rich location information contained in MPC delay differences. Likewise, we present estimators for the relative position vector which process both MPC delays and MPC directions. We do so for various important cases: with and without time synchronization, delay measurement errors, and knowledge of the MPC association between the two CIRs. The estimators exhibit great technolog- ical advantages: they do not require line-of-sight conditions or knowledge about the observer locations or the environment. We study the estimation accuracy with a numerical evaluation based on random sampling and, additionally, with an experimen- tal evaluation based on measurements in an indoor environment. The proposal shows the potential for great accuracy in theory and practice. We describe how the paradigm could be incorporated into established cooperative localization frameworks to provide them with novel inter- and intra-node measurements for spatio- temporal tracking. This could enable low-cost localization of wireless users or networks in dynamic multipath settings.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.relation.ispartofIEEE Transactions on Signal Processingde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectWireless communicationde_CH
dc.subjectUltra-widebandde_CH
dc.subjectIndoor localizationde_CH
dc.subjectRelative localizationde_CH
dc.subjectDistance estimationde_CH
dc.subjectRangingde_CH
dc.subjectTime synchronizationde_CH
dc.subject.ddc004: Informatikde_CH
dc.titlePairwise node localization from differences in their UWB channels to observer nodesde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitute of Signal Processing and Wireless Communications (ISC)de_CH
dc.identifier.doi10.1109/TSP.2022.3150951de_CH
dc.identifier.doi10.21256/zhaw-24298-
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end1592de_CH
zhaw.pages.start1576de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.volume70de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedWireless Communicationde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Dumphart, G., Kramer, R., Heyn, R., Kuhn, M., & Wittneben, A. (2022). Pairwise node localization from differences in their UWB channels to observer nodes. IEEE Transactions on Signal Processing, 70, 1576–1592. https://doi.org/10.1109/TSP.2022.3150951
Dumphart, G. et al. (2022) ‘Pairwise node localization from differences in their UWB channels to observer nodes’, IEEE Transactions on Signal Processing, 70, pp. 1576–1592. Available at: https://doi.org/10.1109/TSP.2022.3150951.
G. Dumphart, R. Kramer, R. Heyn, M. Kuhn, and A. Wittneben, “Pairwise node localization from differences in their UWB channels to observer nodes,” IEEE Transactions on Signal Processing, vol. 70, pp. 1576–1592, Feb. 2022, doi: 10.1109/TSP.2022.3150951.
DUMPHART, Gregor, Robin KRAMER, Robert HEYN, Marc KUHN und Armin WITTNEBEN, 2022. Pairwise node localization from differences in their UWB channels to observer nodes. IEEE Transactions on Signal Processing. Februar 2022. Bd. 70, S. 1576–1592. DOI 10.1109/TSP.2022.3150951
Dumphart, Gregor, Robin Kramer, Robert Heyn, Marc Kuhn, and Armin Wittneben. 2022. “Pairwise Node Localization from Differences in Their UWB Channels to Observer Nodes.” IEEE Transactions on Signal Processing 70 (February): 1576–92. https://doi.org/10.1109/TSP.2022.3150951.
Dumphart, Gregor, et al. “Pairwise Node Localization from Differences in Their UWB Channels to Observer Nodes.” IEEE Transactions on Signal Processing, vol. 70, Feb. 2022, pp. 1576–92, https://doi.org/10.1109/TSP.2022.3150951.


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