Linguistic checking
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@@ -43,7 +43,7 @@
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measuring the signal-strengths of nearby transmitters. The positions of detected \docAP{}s (\docAPshort{}) and \docIBeacon{}s
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are known beforehand. Using the wall-attenuation-factor signal strength prediction model \cite{Ebner-15}, we are able to
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compare each measurement with a corresponding estimation. To infer this estimation, the prediction model
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uses the 3D distance $d$ and the number of floors $\Delta f$ between transmitter and the state-in-question $\mStateVec$:
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uses the 3D distance $d$ and the number of floors $\Delta f$ between the transmitter and the state-in-question $\mStateVec$:
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%
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\begin{equation}
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P_r(d, \Delta f) = \mTXP - 10 \mPLE \log_{10}{\frac{\mMdlDist}{\mMdlDist_0}} + \Delta{f} \mWAF \enspace ,
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@@ -54,8 +54,7 @@
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$\mMdlDist_0$ (usually \SI{1}{\meter}), a path-loss exponent $\mPLE$ describing the transmitter's environment and the attenuation
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per floor $\mWAF$.
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To reduce the system's setup time, we use the same three values for all \docAP{}s at the cost of accuracy.
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All parameters are chosen empirically. Further details on how to determine this parameters exactly,
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can be found in \cite{PathLossPredictionModelsForIndoor}.
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All parameters are chosen empirically. Further details on how to determine these parameters exactly can be found in \cite{PathLossPredictionModelsForIndoor}.
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The same holds for the \docIBeacon{} component, except $\mTXP$,
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which is broadcasted by each beacon. However, as \docIBeacon{}s cover only a small area, $\mPLE$ is usually much smaller compared
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@@ -84,7 +83,7 @@
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While sampling, to-be-walked edges are not chosen uniformly, but depending on a probability $p(\mEdgeAB)$.
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The latter depends on several constraints and recent sensor-readings from the smartphone. Using those readings
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directly within the transition step provides a more robust posterior distribution. Adding them to the evaluation
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instead, would lead to sample impoverishment due to the used MC methods \cite{Isard98:CCD}.
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instead would lead to sample impoverishment due to the used MC methods \cite{Isard98:CCD}.
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%\commentByFrank{ist das verstaendlich oder schon zu kurz?}
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