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Low-Complexity 5g Slam with CKF-PHD Filter

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dc.contributor.authorKim, Hyowon-
dc.contributor.authorGranstrom, Karl-
dc.contributor.authorKim, Sunwoo-
dc.contributor.authorWymeersch, Henk-
dc.date.accessioned2021-07-30T05:22:45Z-
dc.date.available2021-07-30T05:22:45Z-
dc.date.created2021-05-11-
dc.date.issued2020-05-
dc.identifier.issn0736-7791-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/4452-
dc.description.abstractIn 5G mmWave, simultaneous localization and mapping (SLAM) allows devices to exploit map information to improve their position estimate. Even the most basic SLAM filter based on a Rao-Blackwellized particle filter (RBPF) combined with a probability hypothesis density (PHD) map representation exhibits high complexity. This paper proposes a new implementation method for the 5G SLAM using message passing (MP) and the cubature Kalman filter (CKF). We demonstrate that the proposed method significantly reduces the complexity while retaining the SLAM accuracy of the RBPF-PHD approach.-
dc.language영어-
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleLow-Complexity 5g Slam with CKF-PHD Filter-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Sunwoo-
dc.identifier.doi10.1109/ICASSP40776.2020.9053132-
dc.identifier.scopusid2-s2.0-85089221034-
dc.identifier.bibliographicCitationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v.2020, no.May, pp.5220 - 5224-
dc.relation.isPartOfICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings-
dc.citation.titleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings-
dc.citation.volume2020-
dc.citation.numberMay-
dc.citation.startPage5220-
dc.citation.endPage5224-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusAudio signal processing-
dc.subject.keywordPlusMessage passing-
dc.subject.keywordPlusSpeech communication-
dc.subject.keywordPlusCubature kalman filters-
dc.subject.keywordPlusFilter-based-
dc.subject.keywordPlusHigh complexity-
dc.subject.keywordPlusMap representations-
dc.subject.keywordPlusPosition estimates-
dc.subject.keywordPlusProbability hypothesis density-
dc.subject.keywordPlusRao-blackwellized particle filter-
dc.subject.keywordPlusSimultaneous localization and mapping-
dc.subject.keywordPlusKalman filters-
dc.subject.keywordAuthor5G mmWave-
dc.subject.keywordAuthorCKF-
dc.subject.keywordAuthorcooperative SLAM-
dc.subject.keywordAuthormessage passing-
dc.subject.keywordAuthormulti-model PHD-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/9053132-
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