diff --git a/tex_review/bare_conf.tex b/tex_review/bare_conf.tex
index d58a4b7..89f97f1 100644
--- a/tex_review/bare_conf.tex
+++ b/tex_review/bare_conf.tex
@@ -26,6 +26,7 @@
 \usepackage{siunitx}
 \usepackage{array}
 \usepackage{multirow}
+\usepackage{booktabs}
 
 %added for comments to reviewers
 \usepackage[draft]{todonotes} %the orange todos
diff --git a/tex_review/chapters/experiments.tex b/tex_review/chapters/experiments.tex
index 189efb7..8e5b37d 100644
--- a/tex_review/chapters/experiments.tex
+++ b/tex_review/chapters/experiments.tex
@@ -216,26 +216,23 @@ In contrast, the $D_\text{KL}$-based method extends the transition and thus uses
 We set $l_\text{max} =$ \SI{-75}{dBm} and $l_\text{min} =$ \SI{-90}{dBm}.
 For a better overview, we only used the KDE-based estimation, as the errors compared to the weighted-average estimation differ by only a few centimeter.
 
-\newcommand{\STAB}[1]{\begin{tabular}{@{}c@{}}#1\end{tabular}}
-
 \begin{table}[t]
 	\centering
-	\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|}
-		\hline
-		Method & \multicolumn{3}{c|}{none} & \multicolumn{3}{c|}{simple} & \multicolumn{3}{c|}{$D_\text{KL}$}\\
-		\hline
-		  & $\bar{x}$ & $\bar{\sigma}$ & $\tilde{x}_{75}$ & $\bar{x}$ & $\bar{\sigma}$ & $\tilde{x}_{75}$ & $\bar{x}$ & $\bar{\sigma}$ & $\tilde{x}_{75}$ \\ 
-		\hline \hline
-     	walk 0 & \SI{13.4}{\meter} & \SI{11.2}{\meter} & \SI{22.6}{\meter} & \SI{7.1}{\meter} & \SI{6.6}{\meter} & \SI{9.4}{\meter} & \SI{5.8}{\meter} & \SI{4.9}{\meter} & \SI{7.3}{\meter} \\ \hline
-		walk 1 & \SI{3.2}{\meter} & \SI{2.4}{\meter} & \SI{4.1}{\meter} & \SI{3.2}{\meter} & \SI{2.6}{\meter} & \SI{4.0}{\meter} & \SI{3.8}{\meter} & \SI{3.2}{\meter} & \SI{4.6}{\meter} \\ \hline
-		walk 2 & \SI{8.3}{\meter} & \SI{4.1}{\meter} & \SI{10.9}{\meter} & \SI{3.6}{\meter} & \SI{2.3}{\meter} & \SI{4.9}{\meter} & \SI{3.6}{\meter} & \SI{2.3}{\meter} & \SI{4.8}{\meter} \\ \hline
-		walk 3 & \SI{7.0}{\meter} & \SI{5.9}{\meter} & \SI{13.5}{\meter} & \SI{5.4}{\meter} & \SI{4.7}{\meter} & \SI{7.7}{\meter} & \SI{4.8}{\meter} & \SI{4.3}{\meter} & \SI{6.5}{\meter} \\
-		\hline
+	\begin{tabular}{rrrrcrrrcrrr}
+		\toprule
+		 & \multicolumn{3}{c}{none} &  \phantom{abc} & \multicolumn{3}{c}{simple} & \phantom{abc} &  \multicolumn{3}{c}{$D_\text{KL}$} \\
+		 \cmidrule{2-4}  \cmidrule{6-8} \cmidrule{10-12}
+		 & \multicolumn{1}{c}{$\bar{x}$} & \multicolumn{1}{c}{$\bar{\sigma}$} & \multicolumn{1}{c}{$\tilde{x}_{75}$} && \multicolumn{1}{c}{$\bar{x}$} & \multicolumn{1}{c}{$\bar{\sigma}$} & \multicolumn{1}{c}{$\tilde{x}_{75}$} && \multicolumn{1}{c}{$\bar{x}$} & \multicolumn{1}{c}{$\bar{\sigma}$} & \multicolumn{1}{c}{$\tilde{x}_{75}$} \\ 
+		\midrule 
+     	walk 0 & \SI{13.4}{\meter} & \SI{11.2}{\meter} & \SI{22.6}{\meter} && \SI{7.1}{\meter} & \SI{6.6}{\meter} & \SI{9.4}{\meter} && \SI{5.8}{\meter} & \SI{4.9}{\meter} & \SI{7.3}{\meter} \\ 
+		walk 1 & \SI{3.2}{\meter}  & \SI{2.4}{\meter}  & \SI{4.1}{\meter}  && \SI{3.2}{\meter} & \SI{2.6}{\meter} & \SI{4.0}{\meter} && \SI{3.8}{\meter} & \SI{3.2}{\meter} & \SI{4.6}{\meter} \\ 
+		walk 2 & \SI{8.3}{\meter}  & \SI{4.1}{\meter}  & \SI{10.9}{\meter} && \SI{3.6}{\meter} & \SI{2.3}{\meter} & \SI{4.9}{\meter} && \SI{3.6}{\meter} & \SI{2.3}{\meter} & \SI{4.8}{\meter} \\ 
+		walk 3 & \SI{7.0}{\meter}  & \SI{5.9}{\meter}  & \SI{13.5}{\meter} && \SI{5.4}{\meter} & \SI{4.7}{\meter} & \SI{7.7}{\meter} && \SI{4.8}{\meter} & \SI{4.3}{\meter} & \SI{6.5}{\meter} \\
+		\bottomrule
 	\end{tabular}
 		\caption{Overall localization results in meter using the different impoverishment methods. For estimation we used the KDE-based method, as the errors compared to the weighted-average differ by only a few centimeter. The results are presented given the average positioning error $\bar{x}$, the standard deviation $\bar{\sigma}$ and the \SI{75}{\percent}-quantil of positioning errors $\tilde{x}_{75}$.}
 	\label{table:overall}
 \end{table}
-
 All walks, except for walk 1, suffer in some way from sample impoverishment. 
 We discuss the single results of table \ref{table:overall} starting with walk 0. 
 Here, the pedestrians started at the top most level, walking down to the lowest point of the building.