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학술지 Analysis of Outdoor Positioning Results using Deep Learning Based LTE CSI-RS Data
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저자
전주일, 지명인, 조영수
발행일
202009
출처
Journal of Positioning, Navigation, and Timing, v.9 no.3, pp.169-173
ISSN
2288-8187
출판사
항법시스템학회
DOI
https://dx.doi.org/10.11003/JPNT.2020.9.3.169
협약과제
20HS4300, 긴급구조용 측위 품질 제고를 위한 GPS 음영 지역 내 다중 신호패턴의 학습 기반 3차원 정밀측위 기술 개발, 조영수
초록
Location-based services are used as core services in various fields. In particular, in the field of public services such as emergency rescue, accurate location estimation technology is very important. Recently, the technology of tracking the location of self-isolation subjects for COVID-19 has become a major issue. Therefore, location estimation technology using personal smart devices is being studied in various ways, and the most widely used method is to use GPS. Other representative methods are using Wi-Fi, Pedestrian Dead Reckoning (PDR), Bluetooth Low Energy (BLE) beacons, and LTE signals. In this paper, we introduced a positioning technology using deep learning based on LTE Channel State Information-Reference Signal (CSI-RS) data, and confirmed the possibility through an outdoor location estimation experiment using a commercial LTE signal.
KSP 제안 키워드
Accurate location, CSI-RS, Channel State Information(CSI), Emergency rescue, Location Estimation, Location-Based Services, Outdoor positioning, Pedestrian Dead Reckoning, Positioning technology, Public Services, Reference signal