Measurement fusion of connectivity and received signal strength for indoor localization and tracking
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hyowon | - |
dc.contributor.author | Kim, Sunwoo | - |
dc.date.accessioned | 2021-08-02T15:55:23Z | - |
dc.date.available | 2021-08-02T15:55:23Z | - |
dc.date.issued | 2016-12 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/21377 | - |
dc.description.abstract | The range-free localization suffers from unstable connectivity information between wireless devices. To overcome this, we propose a Markov Chain Monte Carlo particle filter (MCMC PF)-based mobility tracking algorithm assisted by received signal strength (RSS) information. The range-free localization results and RSS measurements are used in the tracking algorithm. From MATLAB simulation, we confirm the performance of the proposed tracking algorithm compensating the defect of the range-free localization, and the efficient indoor mobility tracking in a realistic indoor environment has been demonstrated. | - |
dc.format.extent | 3 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Measurement fusion of connectivity and received signal strength for indoor localization and tracking | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/ICUWB.2016.7790436 | - |
dc.identifier.scopusid | 2-s2.0-85011101322 | - |
dc.identifier.bibliographicCitation | 2016 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016, pp 1 - 3 | - |
dc.citation.title | 2016 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 3 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Markov processes | - |
dc.subject.keywordPlus | MATLAB | - |
dc.subject.keywordPlus | Monte Carlo methods | - |
dc.subject.keywordPlus | Tracking (position) | - |
dc.subject.keywordPlus | Connectivity information | - |
dc.subject.keywordPlus | Indoor environment | - |
dc.subject.keywordPlus | Indoor localization | - |
dc.subject.keywordPlus | Markov Chain Monte-Carlo | - |
dc.subject.keywordPlus | Matlab simulations | - |
dc.subject.keywordPlus | Measurement fusion | - |
dc.subject.keywordPlus | Range free localization | - |
dc.subject.keywordPlus | Received signal strength | - |
dc.subject.keywordPlus | Indoor positioning systems | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7790436 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.