diff --git a/tex/chapters/experiments.tex b/tex/chapters/experiments.tex
index d3603df..d0b718e 100644
--- a/tex/chapters/experiments.tex
+++ b/tex/chapters/experiments.tex
@@ -34,12 +34,15 @@ To make a statement about the performance of our novel transition model presente
 \label{sec:exp:opti}
 
 %wie viele ap sind es insgesamt?
-The \docAPshort{} positions as well as the fingerprints used for optimization can be seen in fig. \ref{fig:apfingerprint}.
 As described in section \ref{sec:wifi} we used \SI{42}{} WEMOS D1 mini to provide a \docWIFI{} infrastructure throughout the building.
-The position of every installed beacon was measured using a laser scanner. 
-This allows a comparison with the optimized \docAPshort{} positions. 
 Within all Wi-Fi observations, we only consider the beacons, which are identified by their well-known MAC address. 
 Other transmitters like smart TVs or smartphone hotspots are ignored as they might cause estimation errors.
+The position of every installed beacon was measured using a laser scanner. 
+This allows a comparison with the optimized \docAPshort{} positions.
+Fig. \ref{fig:apfingerprint} illustrates the results of the global and the per-floor method for all \docAPshort{}'s installed to ground level. 
+
+
+
 
 Fig. compares optimized ap vs real positions for the ground level, thus we only illustrated optimized ap', which are really installed there. red created using the global optimization scheme, blue a optimized only for the rechteckigen ground floor.