Low-Complexity 5g Slam with CKF-PHD Filter
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hyowon | - |
dc.contributor.author | Granstrom, Karl | - |
dc.contributor.author | Kim, Sunwoo | - |
dc.contributor.author | Wymeersch, Henk | - |
dc.date.accessioned | 2021-07-30T05:22:45Z | - |
dc.date.available | 2021-07-30T05:22:45Z | - |
dc.date.created | 2021-05-11 | - |
dc.date.issued | 2020-05 | - |
dc.identifier.issn | 0736-7791 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/4452 | - |
dc.description.abstract | In 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.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Low-Complexity 5g Slam with CKF-PHD Filter | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sunwoo | - |
dc.identifier.doi | 10.1109/ICASSP40776.2020.9053132 | - |
dc.identifier.scopusid | 2-s2.0-85089221034 | - |
dc.identifier.bibliographicCitation | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v.2020, no.May, pp.5220 - 5224 | - |
dc.relation.isPartOf | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | - |
dc.citation.title | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | - |
dc.citation.volume | 2020 | - |
dc.citation.number | May | - |
dc.citation.startPage | 5220 | - |
dc.citation.endPage | 5224 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Audio signal processing | - |
dc.subject.keywordPlus | Message passing | - |
dc.subject.keywordPlus | Speech communication | - |
dc.subject.keywordPlus | Cubature kalman filters | - |
dc.subject.keywordPlus | Filter-based | - |
dc.subject.keywordPlus | High complexity | - |
dc.subject.keywordPlus | Map representations | - |
dc.subject.keywordPlus | Position estimates | - |
dc.subject.keywordPlus | Probability hypothesis density | - |
dc.subject.keywordPlus | Rao-blackwellized particle filter | - |
dc.subject.keywordPlus | Simultaneous localization and mapping | - |
dc.subject.keywordPlus | Kalman filters | - |
dc.subject.keywordAuthor | 5G mmWave | - |
dc.subject.keywordAuthor | CKF | - |
dc.subject.keywordAuthor | cooperative SLAM | - |
dc.subject.keywordAuthor | message passing | - |
dc.subject.keywordAuthor | multi-model PHD | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/9053132 | - |
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