second draft um 2 Uhr wie angekündigt. hehe

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toni
2016-05-10 01:59:52 +02:00
parent 7721558d5b
commit 8c055bd71d
6 changed files with 29 additions and 27 deletions

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@@ -3,7 +3,7 @@
\label{sec:filtering}
As mentioned before, most smoothing methods require a preceding filtering.
In our previous work \cite{Ebner-16}, we consider indoor localisation as a time-sequential, non-linear and non-Gaussian state estimation problem.
Similar to our previous works, we consider indoor localisation as a time-sequential, non-linear and non-Gaussian state estimation problem.
Therefore, a Bayes filter that satisfies the Markov property is used to calculate the posterior, which is given by
%
\begin{equation}