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Conference Paper Statistical Approach for Robust Indoor Positioning against Signal Variations
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Authors
Junhaeng Lee, KyongHo Kim, JaeJun Yoo
Issue Date
2023-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1-3
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC58733.2023.10392978
Abstract
There are various methods for indoor positioning, but achieving precise accuracy in the presence of signal variations caused by diverse factors in indoor spaces is challenging. Robust indoor positioning methods are required to handle irregular and unpredictable signal changes. In this paper, we propose a statistical approach to indoor positioning, aiming to provide robustness against signal variations.
KSP Keywords
Indoor Positioning, Indoor Space, statistical approach