ChronoChart: Setup-Agnostic Channel Charting for Label-Free Indoor Localization
Accurate radio-based indoor localization remains challenging in multipath-rich and dynamic indoor environments. Supervised fingerprinting methods achieve high positioning accuracy by learning mappings from radio channel measurements to physical locations, but require costly position labels and frequent recalibration. Channel Charting (CC) addresses this limitation by learning low-dimensional representations of Channel State Information (CSI) without position labels, yielding channel charts in which nearby points correspond to nearby physical locations. However, prominent CC methods rely on setup-specific dissimilarity metrics, such as ADP-, CIRA-, or PDR-based distances, and on precompute...
| Authors | Majid Sharghi Foroushani, Jonas Pirkl, Jonathan Ott et al. |
|---|---|
| Primary category | eess.SP |
| Published | 18 October 2026 |
| Last updated at source | 18 October 2026 |
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