Citation Export
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Jisoo | - |
| dc.contributor.author | Choi, Seonjoo | - |
| dc.contributor.author | Lim, Jaesung | - |
| dc.date.issued | 2023-01-01 | - |
| dc.identifier.issn | 0916-8532 | - |
| dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/33181 | - |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85145873193&origin=inward | - |
| dc.description.abstract | In time difference of arrival-based signal source location estimation, geometrical errors are caused by the location of multiple unmanned aerial vehicles (UAV). Herein, we propose a divide-and-conquer algorithm to determine the optimal location for each UAV. Simulations results confirm that multiple UAVs shifted to an optimal position and the location accuracy improved. | - |
| dc.description.sponsorship | This work was supported by the Future Combat System Network Technology Research Center Program of Defense Acquisition Program Administration and Agency for Defense Development under Grant UD190033ED. | - |
| dc.language.iso | eng | - |
| dc.publisher | Institute of Electronics Information Communication Engineers | - |
| dc.subject.mesh | Aerial vehicle | - |
| dc.subject.mesh | DOP | - |
| dc.subject.mesh | Identification of unknowns | - |
| dc.subject.mesh | Location estimation | - |
| dc.subject.mesh | Location identification | - |
| dc.subject.mesh | Minimisation | - |
| dc.subject.mesh | Multiple UAVs | - |
| dc.subject.mesh | Optimal positioning | - |
| dc.subject.mesh | Relay | - |
| dc.subject.mesh | Unmanned aerial vehicle | - |
| dc.title | Optimal Positioning Scheme of Multiple UAVs through DOP Minimization for Location Identification of Unknown Radar | - |
| dc.type | Article | - |
| dc.citation.endPage | 81 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 78 | - |
| dc.citation.title | IEICE Transactions on Information and Systems | - |
| dc.citation.volume | E106D | - |
| dc.identifier.bibliographicCitation | IEICE Transactions on Information and Systems, Vol.E106D No.1, pp.78-81 | - |
| dc.identifier.doi | 10.1587/transinf.2022edl8063 | - |
| dc.identifier.scopusid | 2-s2.0-85145873193 | - |
| dc.identifier.url | https://www.jstage.jst.go.jp/article/transinf/E106.D/1/E106.D_2022EDL8063/_pdf/-char/en | - |
| dc.subject.keyword | DOP | - |
| dc.subject.keyword | location estimation | - |
| dc.subject.keyword | relay | - |
| dc.subject.keyword | TDOA | - |
| dc.subject.keyword | UAV | - |
| dc.type.other | Article | - |
| dc.identifier.pissn | 1745-1361 | - |
| dc.description.isoa | true | - |
| dc.subject.subarea | Software | - |
| dc.subject.subarea | Hardware and Architecture | - |
| dc.subject.subarea | Computer Vision and Pattern Recognition | - |
| dc.subject.subarea | Electrical and Electronic Engineering | - |
| dc.subject.subarea | Artificial Intelligence | - |
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