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erster schwung grafiken

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toni
2018-09-11 22:45:40 +02:00
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commit 7ed0415cc2
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tex/chapters/system.tex
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@@ -1,7 +1,6 @@
\section{Recursive State Estimation}
\label{sec:rse}
We consider indoor localization to be a time-sequential, non-linear and non-Guassian state estimation problem.
The filtering equation to calculated the posterior is given by the recursion
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@@ -37,6 +36,4 @@ The observation vector is defined as
\end{equation}
%
Here, $\mRssiVec_\text{wifi}$ contains the signal strength measurements of all \docAP{}s currently visible to the phone. $\mObsHeading$ provides the relative angular change and $\mObsSteps$ the number of steps since the last filter-step.
The result of a simple activity recognition using the phone's barometer is given by $\mObsActivity$, which is one of: standing, walking, walking up or walking down.
\commentByFrank{kann das baro allein zwischen standing/walking unterscheiden?}
The result of a simple activity recognition using the phone's barometer and acceleromter is given by $\mObsActivity$, which is one of: standing, walking, walking up or walking down.