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Localization with Transfer Learning Based on Fine-Grained Subcarrier Information for Dynamic Indoor Environments
Indoor localization provides robust solutions in many applications, and Wi-Fi-based methods are considered some of the most promising means for optimizing indoor fingerprinting localization accuracy. However, Wi-Fi signals are vulnerable to environmental variations, resulting in data across differen...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867339/ https://www.ncbi.nlm.nih.gov/pubmed/33540823 http://dx.doi.org/10.3390/s21031015 |