activated interval smoothing for evaluation

This commit is contained in:
toni
2016-05-03 11:17:08 +02:00
parent 8b7b38dd5a
commit 1e8f4259a2
10 changed files with 272 additions and 155 deletions

View File

@@ -34,7 +34,7 @@ Due to legal terms, we are not allowed to depict their positions and therefore o
Additionally, we used five \docIBeacon{}s for slight enhancements in some areas.
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.
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}.
However, incorporating prior knowledge will often compensate for those poorly chosen system parameters.
%However, incorporating prior knowledge will often compensate for those poorly chosen system parameters.
\commentByToni{Hier eure noetigen Werte eintragen.}
As uncertainties we used $\sigma_\text{wifi} = \sigma_\text{ib} = 8.0$, both growing with each measurement's age.