Accurate Long-Term Evolution/Wi-Fi hybrid positioning technology for emergency rescue
Autor: | Myungin Ji, Ju-il Jeon, Kyeong-Soo Han, Youngsu Cho |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: | |
Zdroj: | ETRI Journal, Vol 45, Iss 6, Pp 939-951 (2023) |
Druh dokumentu: | article |
ISSN: | 1225-6463 2233-7326 |
DOI: | 10.4218/etrij.2022-0234 |
Popis: | 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. |
Databáze: | Directory of Open Access Journals |
Externí odkaz: |