Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김선우 | - |
dc.date.accessioned | 2022-03-08T02:39:21Z | - |
dc.date.available | 2022-03-08T02:39:21Z | - |
dc.date.issued | 2020-06 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v. 19, no. 6, page. 3782-3795 | en_US |
dc.identifier.issn | 1536-1276 | - |
dc.identifier.issn | 1558-2248 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9032328 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/168915 | - |
dc.description.abstract | 5G millimeter wave (mmWave) signals can enable accurate positioning in vehicular networks when the base station and vehicles are equipped with large antenna arrays. However, radio-based positioning suffers from multipath signals generated by different types of objects in the physical environment. Multipath can be turned into a benefit, by building up a radio map (comprising the number of objects, object type, and object state) and using this map to exploit all available signal paths for positioning. We propose a new method for cooperative vehicle positioning and mapping of the radio environment, comprising a multiple-model probability hypothesis density filter and a map fusion routine, which is able to consider different types of objects and different fields of views. Simulation results demonstrate the performance of the proposed method. | en_US |
dc.description.sponsorship | This work was supported, in part, by the Swedish Research Council, under grant 2018-03701, by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2020-2017-0-01637) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation), and by Samsung Research Funding & Incubation Center of Samsung Electronics under Project Number SRFC-IT-1601-09. The associate editor coordinating the review of this article and approving it for publication was P. Casari. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.subject | 5G millimeter-wave | en_US |
dc.subject | cooperative positioning and mapping | en_US |
dc.subject | map fusion | en_US |
dc.subject | probability hypothesis density | en_US |
dc.subject | vehicular networks | en_US |
dc.title | 5G mmWave Cooperative Positioning and Mapping Using Multi-Model PHD Filter and Map Fusion | en_US |
dc.type | Article | en_US |
dc.relation.no | 6 | - |
dc.relation.volume | 19 | - |
dc.identifier.doi | 10.1109/TWC.2020.2978479 | - |
dc.relation.page | 3782-3795 | - |
dc.relation.journal | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS | - |
dc.contributor.googleauthor | Kim, Hyowon | - |
dc.contributor.googleauthor | Granstrom, Karl | - |
dc.contributor.googleauthor | Gao, Lin | - |
dc.contributor.googleauthor | Battistelli, Giorgio | - |
dc.contributor.googleauthor | Kim, Sunwoo | - |
dc.contributor.googleauthor | Wymeersch, Henk | - |
dc.relation.code | 2020053773 | - |
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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