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Long-Range Drone Detection of 24 G FMCW Radar with E-plane Sectoral Horn Array
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Choi, Byunggil | - |
| dc.contributor.author | Oh, Daegun | - |
| dc.contributor.author | Kim, Sun woo | - |
| dc.contributor.author | Chong, Jong-Wha | - |
| dc.contributor.author | Li, Ying-Chun | - |
| dc.date.accessioned | 2021-08-02T12:29:51Z | - |
| dc.date.available | 2021-08-02T12:29:51Z | - |
| dc.date.created | 2021-05-12 | - |
| dc.date.issued | 2018-12 | - |
| dc.identifier.issn | 1424-8220 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/15254 | - |
| dc.description.abstract | In this work, a 24-GHz frequency-modulated continuous-wave (FMCW) radar system with two sectoral horn antennas and one transmitting lens antenna for long-range drone detection is presented. The present work demonstrates the detection of a quadcopter-type drone using the implemented radar system up to a distance of 1 km. Moreover, a 3D subspace-based algorithm is proposed for the joint range-azimuth-Doppler estimation of long-range drone detection. The effectiveness of the long-range drone detection is verified with the implemented radar system through a variety of experiments in outdoor environments. This is the first such demonstration for long-range drone detection with a 24-GHz FMCW radar. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | MDPI | - |
| dc.title | Long-Range Drone Detection of 24 G FMCW Radar with E-plane Sectoral Horn Array | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Kim, Sun woo | - |
| dc.identifier.doi | 10.3390/s18124171 | - |
| dc.identifier.scopusid | 2-s2.0-85057545444 | - |
| dc.identifier.wosid | 000454817100090 | - |
| dc.identifier.bibliographicCitation | SENSORS, v.18, no.12 | - |
| dc.relation.isPartOf | SENSORS | - |
| dc.citation.title | SENSORS | - |
| dc.citation.volume | 18 | - |
| dc.citation.number | 12 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Article | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Chemistry | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Instruments & Instrumentation | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
| dc.subject.keywordPlus | CLASSIFICATION | - |
| dc.subject.keywordAuthor | FMCW | - |
| dc.subject.keywordAuthor | drone detection | - |
| dc.subject.keywordAuthor | 3D subspace-based algorithm | - |
| dc.identifier.url | https://www.mdpi.com/1424-8220/18/12/4171 | - |
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Related Researcher
- Kim, Sunwoo
- COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)