Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김선우 | - |
dc.date.accessioned | 2022-04-26T05:19:52Z | - |
dc.date.available | 2022-04-26T05:19:52Z | - |
dc.date.issued | 2020-08 | - |
dc.identifier.citation | SENSORS, v. 20, no. 16, article no. 4656 | en_US |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://www.mdpi.com/1424-8220/20/16/4656 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/170290 | - |
dc.description.abstract | 5G communication systems operating above 24 GHz have promising properties for user localization and environment mapping. Existing studies have either relied on simplified abstract models of the signal propagation and the measurements, or are based on direct positioning approaches, which directly map the received waveform to a position. In this study, we consider an intermediate approach, which consists of four phases-downlink data transmission, multi-dimensional channel estimation, channel parameter clustering, and simultaneous localization and mapping (SLAM) based on a novel likelihood function. This approach can decompose the problem into simpler steps, thus leading to lower complexity. At the same time, by considering an end-to-end processing chain, we are accounting for a wide variety of practical impairments. Simulation results demonstrate the efficacy of the proposed approach. | en_US |
dc.description.sponsorship | This work was partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by Knut and Alice Wallenberg Foundation, the Vinnova 5GPOS project under grant 2019-03085, by the Swedish Research Council under grant 2018-0370, by the MSIP, Korea, under the ITRC support program IITP-2020-2017-0-01637, and by the IITP grant funded by the Korea government No. 2019-0-01325. | en_US |
dc.language.iso | en | en_US |
dc.publisher | MDPI | en_US |
dc.subject | mmWave single base station SLAM | en_US |
dc.subject | diffuse multipath | en_US |
dc.subject | clustering | en_US |
dc.title | 5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath | en_US |
dc.type | Article | en_US |
dc.relation.no | 16 | - |
dc.relation.volume | 20 | - |
dc.identifier.doi | 10.3390/s20164656 | - |
dc.relation.page | 1-31 | - |
dc.relation.journal | SENSORS | - |
dc.contributor.googleauthor | Ge, Yu | - |
dc.contributor.googleauthor | Wen, Fuxi | - |
dc.contributor.googleauthor | Kim, Hyowon | - |
dc.contributor.googleauthor | Zhu, Meifang | - |
dc.contributor.googleauthor | Jiang, Fan | - |
dc.contributor.googleauthor | Kim, Sunwoo | - |
dc.contributor.googleauthor | Svensson, Lennart | - |
dc.contributor.googleauthor | Wymeersch, Henk | - |
dc.relation.code | 2020053568 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | SCHOOL OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | remero | - |
dc.identifier.orcid | https://orcid.org/0000-0002-7055-6587 | - |
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