activated interval smoothing for evaluation
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@@ -34,7 +34,7 @@ Due to legal terms, we are not allowed to depict their positions and therefore o
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Additionally, we used five \docIBeacon{}s for slight enhancements in some areas.
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The empirically chosen values for \docWIFI{} were $P_{0_{\text{wifi}}} = \SI{-46}{\dBm}, \mPLE_{\text{wifi}} = \SI{2.7}{}, \mWAF_{\text{wifi}} = \SI{8}{\dB}$, and $\mPLE_{\text{ib}} = \SI{1.5}{}$ for the \docIBeacon{}s, respectively.
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Due to omitting a time-consuming calibration process for those values we expect the localisation process to perform generally worse compared to standard fingerprinting methods \cite{Ville09}.
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However, incorporating prior knowledge will often compensate for those poorly chosen system parameters.
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%However, incorporating prior knowledge will often compensate for those poorly chosen system parameters.
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\commentByToni{Hier eure noetigen Werte eintragen.}
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As uncertainties we used $\sigma_\text{wifi} = \sigma_\text{ib} = 8.0$, both growing with each measurement's age.
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