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Journal Article
Accurate Long-Term Evolution/Wi-Fi hybrid positioning technology for emergency rescue
- Authors
- Myungin Ji, Ju-il Jeon, Kyeong-Soo Han, Youngsu Cho
- Issue Date
- 2023-12
- Citation
- ETRI Journal, v.45, no.6, pp.939-951
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- Korean
- Type
- Journal Article
- Abstract
- 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 Keywords
- Dense urban, Emergency rescue, Global positioning system(GPS), Hybrid positioning, IEEE 802.11(Wi-Fi), Location Based, Long Term Evolution(LTE), Positioning algorithm, Positioning technology, Target accuracy, Two-Step
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
