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Enhanced Filter-Based Relative Distance Estimation Method
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Sang-Geol | - |
| dc.contributor.author | Sung, Yunsick | - |
| dc.contributor.author | Jeong, Young-Sik | - |
| dc.date.accessioned | 2024-08-08T04:31:44Z | - |
| dc.date.available | 2024-08-08T04:31:44Z | - |
| dc.date.issued | 2016-09 | - |
| dc.identifier.issn | 1936-6612 | - |
| dc.identifier.issn | 1936-7317 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/18093 | - |
| dc.description.abstract | Nowadays, beacon RSSI is utilized to estimate users' locations. One of research suggests a distance estimation method in indoor environments. However, measured RSSis are inaccurate in indoor environment. Therefore, a RSSI revision approach is required. This paper proposed a relative distance estimation method (ReDEM-1) applying a RSSI filter (RF-II). The accuracy of measured RSSIs are increased by RF-ll and then revised by ReDEM-I. The revised RSSIs are utilized to estimate users' locations. | - |
| dc.format.extent | 4 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | AMER SCIENTIFIC PUBLISHERS | - |
| dc.title | Enhanced Filter-Based Relative Distance Estimation Method | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1166/asl.2016.7795 | - |
| dc.identifier.scopusid | 2-s2.0-85020006656 | - |
| dc.identifier.wosid | 000399357500094 | - |
| dc.identifier.bibliographicCitation | ADVANCED SCIENCE LETTERS, v.22, no.9, pp 2496 - 2499 | - |
| dc.citation.title | ADVANCED SCIENCE LETTERS | - |
| dc.citation.volume | 22 | - |
| dc.citation.number | 9 | - |
| dc.citation.startPage | 2496 | - |
| dc.citation.endPage | 2499 | - |
| dc.type.docType | Proceedings Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
| dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
| dc.subject.keywordAuthor | UAV | - |
| dc.subject.keywordAuthor | Beacon | - |
| dc.subject.keywordAuthor | RSSI Filter | - |
| dc.subject.keywordAuthor | ReDEM | - |
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Related Researcher
- Jeong, Young Sik
- College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)