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Journal Article
Analysis of Outdoor Positioning Results using Deep Learning Based LTE CSI-RS Data
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- Authors
- Juil Jeon, Myungin Ji, Youngsu Cho
- Issue Date
- 2020-09
- Citation
- Journal of Positioning, Navigation, and Timing, v.9, no.3, pp.169-173
- ISSN
- 2288-8187
- Publisher
- 항법시스템학회
- Language
- Korean
- Type
- Journal Article
- Abstract
- 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 Keywords
- 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