zhangleino1 / WIFI-SCI-Indoor-Positioning
This is an open-source project that employs deep learning to enhance indoor positioning using WiFi Channel State Information (CSI). This project aims to harness the detailed data from CSI, such as signal amplitude, phase, and environmental properties, to accurately locate devices inside buildings where GPS is ineffective.
RepositoryStats indexes 630,443 repositories, of these zhangleino1/WIFI-SCI-Indoor-Positioning is ranked #544,731 (14th percentile) for total stargazers, and #480,613 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #108,066/128,655.
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46 commits on the default branch (main) since jan '22
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The only known language in this repository is Python
updated: 2025-03-24 @ 02:47pm, id: 789744046 / R_kgDOLxKJrg