tex v2 - without experiments

tex/chapters/abstract.tex

@@ -6,9 +6,9 @@ The sample impoverishment problem can therefore be described as a too small part
 Restrictive transition models, as they are used in indoor localisation, also enhance this effect significantly.
 However, an accurate position estimation requires a certain degree of focus and thus behaves contrary to the need of diversity.
 
-The proposed method is able to deal with the trade-off between the need of diversity and focus by deploying an interacting multiple model particle filter (IMMPF) for jump Markov non-linear systems. 
+Therefore we propose a new method that is able to deal with the trade-off between the need of diversity and focus by deploying an interacting multiple model particle filter (IMMPF) for jump Markov non-linear systems. 
 We combine two similar particle filters using a non-trivial Markov switching process, depending upon the Kullback-Leibler divergence and a Wi-Fi quality factor. The main benefit of this
-approach is the easy adaptation to other localization approaches based on particle filters.
+approach is an easy adaptation to other localisation approaches based on particle filters.
 
 
 %One with a very restrictive transition scheme, providing very accurate results. The other with more flexible and simple dynamics, resulting in a higher sample diversity.