second draft um 2 Uhr wie angekündigt. hehe
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\label{sec:filtering}
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As mentioned before, most smoothing methods require a preceding filtering.
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In our previous work \cite{Ebner-16}, we consider indoor localisation as a time-sequential, non-linear and non-Gaussian state estimation problem.
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Similar to our previous works, we consider indoor localisation as a time-sequential, non-linear and non-Gaussian state estimation problem.
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Therefore, a Bayes filter that satisfies the Markov property is used to calculate the posterior, which is given by
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%
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\begin{equation}
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