Passive Channel Charting: Locating Passive Targets using a UWB Mesh
Poeggel R, Stahlke M, Pirkl J, Ott J, George Y, Feigl T, Mutschler C (2026)
Publication Status: Submitted
Publication Type: Unpublished / Preprint
Future Publication Type: Journal article
Publication year: 2026
DOI: 10.48550/arXiv.2505.10194
Abstract
Fingerprint-based passive localization enables high localization accuracy using low-cost UWB IoT radio sensors. However, fingerprinting demands extensive effort for data acquisition. The concept of channel charting reduces this effort by modeling and projecting the manifold of \ac{csi} onto a 2D coordinate space. So far, researchers only applied this concept to active radio localization, where a mobile device intentionally and actively emits a specific signal. In this paper, we apply channel charting to passive localization. We use a pedestrian dead reckoning (PDR) system to estimate a target's velocity and derive a distance matrix from it. We then use this matrix to learn a distance-preserving embedding in 2D space, which serves as a fingerprinting model. In our experiments, we deploy six nodes in a fully connected ultra-wideband (UWB) mesh network to show that our method achieves high localization accuracy, with an average error of just 0.24\,m, even when we train and test on different targets.
Involved external institutions
Germany (DE)How to cite
APA:
Poeggel, R., Stahlke, M., Pirkl, J., Ott, J., George, Y., Feigl, T., & Mutschler, C. (2026). Passive Channel Charting: Locating Passive Targets using a UWB Mesh. (Unpublished, Submitted).
MLA:
Poeggel, Raffael, et al. Passive Channel Charting: Locating Passive Targets using a UWB Mesh. Unpublished, Submitted. 2026.
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