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\begin{abstract}
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Indoor localisation continuous to be a topic of growing importance. \commentByLukas{Wuerde "Many different.." Satz weglassen, weil informationslos} Many different approaches for estimating the position of a pedestrian are presented year after year.
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Indoor localisation continuous to be a topic of growing importance.
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Despite the advances made, several profound problems are still present.
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For example, estimating an accurate position from a multimodal distribution or recovering from the influence of faulty measurements.
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Within this work, we try to solve such problems with help of Monte Carlo smoothing methods, namely forward-backward smoother and backward simulation.
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