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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jin, Youngseok | - |
| dc.contributor.author | Bae, Jieun | - |
| dc.contributor.author | Hyun, Eugin | - |
| dc.date.accessioned | 2025-11-06T19:40:12Z | - |
| dc.date.available | 2025-11-06T19:40:12Z | - |
| dc.date.created | 2025-11-06 | - |
| dc.date.issued | 2025-07-08 | - |
| dc.identifier.isbn | 9798331524876 | - |
| dc.identifier.issn | 2165-8536 | - |
| dc.identifier.uri | https://scholar.dgist.ac.kr/handle/20.500.11750/59147 | - |
| dc.description.abstract | In this paper, a real-time CW (Continuous Wave) radar system was implemented for moving human indication. The developed CW radar module has a center frequency of 5.8 GHz and a maximum detection range of 15 meters. To enhance the accuracy of indication, two CW radar modules were utilized. For data acquisition, a DAQ (Data Acquisition) was used; we used a MATLAB GUI (Graphical User Interface) program to verify the indication results. For system verification, experiments were conducted with two scenarios: a moving human and a reflector. The moving human indication results showed an accuracy of 95.6%. | - |
| dc.language | English | - |
| dc.publisher | IEEE Computer Society | - |
| dc.relation.ispartof | International Conference on Ubiquitous and Future Networks, ICUFN | - |
| dc.title | Implementation of Real-Time Radar System for Moving Human Indication Using CW Radar | - |
| dc.type | Conference Paper | - |
| dc.identifier.doi | 10.1109/ICUFN65838.2025.11170073 | - |
| dc.identifier.scopusid | 2-s2.0-105018736397 | - |
| dc.identifier.bibliographicCitation | 16th International Conference on Ubiquitous and Future Networks, ICUFN 2025, pp.565 - 567 | - |
| dc.identifier.url | https://2025.icufn.org/133 | - |
| dc.citation.conferenceDate | 2025-07-08 | - |
| dc.citation.conferencePlace | PO | - |
| dc.citation.conferencePlace | Lisbon | - |
| dc.citation.endPage | 567 | - |
| dc.citation.startPage | 565 | - |
| dc.citation.title | 16th International Conference on Ubiquitous and Future Networks, ICUFN 2025 | - |
