Ultra Wideband (UWB) Localization Using Active CIR-Based Fingerprinting
Jaron Fontaine, Ben Van Herbruggen, Adnan Shahid, Sebastian Kram, Maximilian Stahlke, Eli De Poorter
Abstract
Indoor positioning systems using Ultra Wideband (UWB) achieve high positioning accuracy ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${< }30$ </tex-math></inline-formula> 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 ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$20.9 - 87.0$ </tex-math></inline-formula> cm), in contrast to signal strength based fingerprinting approaches that realize accuracies of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2 - 3$ </tex-math></inline-formula> m. Finally, with CIR interpolation the data collection overhead is reduced.