Ultra Wideband (UWB) Localization Using Active CIR-Based Fingerprinting

Fontaine J, Van Herbruggen B, Shahid A, Kram S, Stahlke M, De Poorter E (2023)

Publication Type: Journal article

Publication year: 2023


Book Volume: 27

Pages Range: 1322-1326

Journal Issue: 5

DOI: 10.1109/LCOMM.2023.3254146


Indoor positioning systems using Ultra Wideband (UWB) achieve high positioning accuracy (<30 cm). However, traditional localization approaches require many packet exchanges (e.g. two-way ranging) or challenging clock synchronization (e.g. time difference of arrival). To remedy this, we propose active fingerprinting using the channel impulse response (CIR) from a single UWB packet received at each UWB anchor. The proposed neural network anchor-subset selection method with Savitzky-Golay filter achieves a low mean absolute error (20.9 - 87.0cm), in contrast to signal strength based fingerprinting approaches that realize accuracies of 2 - 3 m. Finally, with CIR interpolation the data collection overhead is reduced.

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How to cite


Fontaine, J., Van Herbruggen, B., Shahid, A., Kram, S., Stahlke, M., & De Poorter, E. (2023). Ultra Wideband (UWB) Localization Using Active CIR-Based Fingerprinting. IEEE Communications Letters, 27(5), 1322-1326. https://dx.doi.org/10.1109/LCOMM.2023.3254146


Fontaine, Jaron, et al. "Ultra Wideband (UWB) Localization Using Active CIR-Based Fingerprinting." IEEE Communications Letters 27.5 (2023): 1322-1326.

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