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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Accurate Long-Term Evolution/Wi-Fi hybrid positioning technology for emergency rescue

  • Myungin Ji (City & Transportation ICT Research Department, Electronics and Telecommunications Research Institute) ;
  • Ju-il Jeon (City & Transportation ICT Research Department, Electronics and Telecommunications Research Institute) ;
  • Kyeong-Soo Han (City & Transportation ICT Research Department, Electronics and Telecommunications Research Institute) ;
  • Youngsu Cho (City & Transportation ICT Research Department, Electronics and Telecommunications Research Institute)
  • Received : 2022.06.09
  • Accepted : 2022.10.17
  • Published : 2023.12.10
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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.

Keywords

Acknowledgement

This work was supported by Institute for Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2019-0-01401, Multi-source based 3D emergency LOCalization using machine learning techniques).

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