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Journal Article
Effective fingerprinting database construction through digital map-based RF signal modeling and partial measurements in indoor environments
- Authors
- Jung Ho Lee, Taehun Kim, Youngsu Cho, Juil Jeon, Kyeongsoo Han, Taikjin Lee
- Issue Date
- 2025-08
- Citation
- ETRI Journal, v.47, no.4, pp.643-656
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원
- Language
- English
- Type
- Journal Article
- Abstract
- This paper presents a radio-frequency (RF) signal modeling technology that builds a fingerprinting database for indoor localization quickly and accurately. Fingerprinting-based localization technology uses location-specific signal characteristics as a database; therefore, it is less sensitive to multipath problems. The proposed approach predicts signal propagation paths and calculates attenuation based on an indoor map, reducing infrastructure installation and data collection time. Because the indoor map lacks accurate information about all structures, the modeling results contain errors when compared to measurements. To address this, measurements from a partial area improve modeling accuracy by accounting for received signal strength changes caused by indoor structures. In experiments with seven beacons, the proposed database construction method achieves an average error of 5.16 dBm and a localization error of 1.61 m, comparable to the 1.14-m error in measurement-based databases, while reducing database construction time by 41.06%. These results demonstrate the effectiveness of the proposed technology in rapidly and accurately building databases for indoor localization.
- KSP Keywords
- Average error, Construction Method, Construction time, Data Collection, Digital map, Indoor environment, Indoor map, Localization errors, Modeling accuracy, Modeling technology, Partial area
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)
