상세정보
학술지
Accurate Long-Term Evolution/Wi-Fi hybrid positioning technology for emergency rescue
- 발행일
- 202312
- 출처
- ETRI Journal, v.45 no.6, pp.939-951
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 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
본 저작물은 공공누리 제4유형 : 출처표시 + 상업적 이용금지 + 변경금지 조건에 따라 이용할 수 있습니다.
