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학술지 Accurate Long-Term Evolution/Wi-Fi hybrid positioning technology for emergency rescue
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저자
지명인, 전주일, 한경수, 조영수
발행일
202312
출처
ETRI Journal, v.45 no.6, pp.939-951
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.2022-0234
협약과제
22HR6500, 긴급구조용 측위 품질 제고를 위한 GPS 음영 지역 내 다중 신호패턴의 학습 기반 3차원 정밀측위 기술 개발, 조영수
초록
It is critical to estimate the location using only Long-Term Evolution (LTE) and Wi-Fi information gathered by the user's smartphone and deployable for emergency rescue, regardless of whether the Global Positioning System is received. In this research, we used a vehicle to gather LTE and Wi-Fi wireless signals over a large area for an extended period of time. After that, we used the learning technique to create a positioning database that included both collection and noncollection points. We presented a two-step positioning algorithm that utilizes coarse localization to discover a rough location in a wide area rapidly and fine localization to estimate a particular location based on the coarse position. We confirmed our technology utilizing different sorts of devices in four regional types that are generally encountered: dense urban, urban, suburban, and rural. Results presented that our algorithm can satisfactorily achieve the target accuracy necessary in emergency rescue circumstances.
KSP 제안 키워드
Dense urban, Emergency rescue, Hybrid positioning, Location based, Long term Evolution(LTE), Positioning algorithm, Positioning technology, Target accuracy, Two-Step, WI-Fi, Wide area
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