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@@ -73,14 +73,15 @@ We used a \SI{10}{cm} coaxial cable to connect the antennas to the cards, which
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% \item Bildergrid und Video
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%\end{itemize}
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The first experiment evaluates the indoor precision of FTM distance measurements given different hardware configurations.
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While \etal{Ibrahim} \cite{ibrahim2018verification} already verified the precision of the Intel~AC~8260 card in great detail, our setup differs from theirs and requires anew evaluation.
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The first experiment evaluates the indoor precision and accuracy of FTM distance measurements given different hardware configurations.
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While \etal{Ibrahim} \cite{ibrahim2018verification} already verified the precision of the \intelOld card in great detail, our setup differs from theirs and requires anew evaluation.
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In contrast to \etal{Ibrahim} we use smartphones as receivers and two different cards with different firmware versions as senders.
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Additionally, it is unclear how the external antennas affect the measurements.
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For these reasons we did a static distance measurement experimental setup to confirm that the combination of Pixel devices and Intel cards provide reliable values.
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% TODO fig mit shematischen aufbau
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Our test setup consist of 10 measurement points evenly spaced on a straight line with a distance of \SI{2}{m}.
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Our test setup consist of $10$ measurement points evenly spaced at a distance of \SI{2}{m} on a straight line.
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The closest point to the AP is \SI{2}{m} away and the furthest \SI{20}{m}.
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At every point each phone is placed on a stand.
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Around 140 FTM measurements are recorded, which corresponds to a measure period of \SI{30}{s} per point.
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@@ -91,8 +92,8 @@ While recording measurements for \SI{30}{s} at a single point is not realistic i
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The whole experiment was deployed in the hallway of our university.
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Each distance measurement is performed with every hardware combination.
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On the receiving side we used the Google Pixel 2 XL and Pixel 3a.
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On the sending side we used the Intel AC 8260 and 9462 with internal and external \SI{2}{dBi} antennas.
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On the receiving side we used the Google \pixelOld and \pixelNew.
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On the sending side we used the \intelBoth with internal and external \SI{2}{dBi} omnidirectional antennas.
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The antenna geometry and properties of the internal antenna are unknown.
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In total there are eight phone AP combinations.
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@@ -106,28 +107,70 @@ In total there are eight phone AP combinations.
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\autoref{fig:DistMeasMeanNucPixel}~\subref{fig:DistMeasMeanNucPixel:a} shows the average measured distance per smartphone in respect to the ground truth distance.
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Likewise, \autoref{fig:DistMeasMeanNucPixel}~\subref{fig:DistMeasMeanNucPixel:b} depicts the average measured distance per access point.
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The corresponding values of these figures are shown in \autoref{tab:distvaluesPixels} and \autoref{tab:distvaluesNUCs}.
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We compute the mean over the 140 FTM measurements denoted as $\bar{d}$ and its standard deviation.
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Because $\bar{d}$ can be larger or smaller than the true distance we use the difference between $\bar{d}$ and the true distance as error metric.
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However, when its necessary to quantify the error regardless of its direction the absolute difference is used.
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Interestingly, both the wireless cards and the Pixel devices exhibit some similar tendency regarding the measurement error.
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As seen in \autoref{fig:DistMeasMeanNucPixel}~\subref{fig:DistMeasMeanNucPixel:a} the Pixel 3a tends to underestimate the distance.
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As seen in \autoref{fig:DistMeasMeanNucPixel}~\subref{fig:DistMeasMeanNucPixel:a} the \pixelOld tends to underestimate the distance.
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Only at \SI{6}{m} and \SI{10}{m} the estimated distance is slightly larger compared to the true distance.
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The overall error is mostly negative and the mean absolute error is $\SI{1}{m}$.
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Contrarily, the Pixel 2 XL tends to overestimates the distance compared to the groundtruth distance.
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Contrarily, the \pixelNew tends to overestimate the distance compared to the groundtruth distance.
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Here the mean absolute error is $\SI{1.4}{m}$.
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However, at the \SI{16}{m} mark the measured mean distance of the Pixel 2 XL significantly increases.
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Computing the mean absolute error only in the interval of $[\SI{2}{m}, \SI{16}{m}]$ reduces the Pixel 2 XL error to $\SI{0.6986}{m}$, while the Pixel 3a error changes negligible.
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However, at the \SI{16}{m} mark the measured mean distance of the \pixelNew significantly increases.
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Computing the mean absolute error only in the interval of $[\SI{2}{m}, \SI{16}{m}]$ reduces the \pixelNew error to $\SI{0.6986}{m}$, at the same time the \pixelOld error changes negligible.
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While on average the standard deviation of the distance measurements are quite similar for both devices, the standard deviation for the \pixelNew is more stable.
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At \SI{16}{m} the Pixel 3a stops to underestimate the distance and the measurements at \SI{18}{m} and \SI{20}{m} are quite close to the true distance.
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In contrast, the Pixel 2 XL starts to increasingly overestimate the true distance which results in large error values ($\approx \SI{4}{m}$).
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The same behavior is observable for the Intel AC 8260 and 9460 cards.
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At \SI{16}{m} the \pixelOld stops to underestimate the distance and the measurements at \SI{18}{m} and \SI{20}{m} are quite close to the true distance.
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In contrast, the \pixelNew starts to increasingly overestimate the true distance which results in large error values ($\approx \SI{4}{m}$).
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The same behavior is observable for the \intelBoth cards.
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Again at \SI{16}{m} both cards start to overestimate the true distance.
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For distances smaller than \SI{16}{m} the \intelOld also underestimates the distance with a mean absolute error of \SI{1.11}{m} in that range.
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Like the \pixelOld the error increases for larger distances, however, somewhat smaller with $\approx \SI{2}{m}$.
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Like the \pixelNew the error increases for larger distances, however, somewhat smaller with $\approx \SI{2}{m}$.
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In total the \intelNew card tends to provide an accurate distance estimate but has some outliers at \SI{6}{m} and \SI{10}{m} but never underestimates the true distance.
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While the mean distance over many measurements is relevant for stationary measure points, in our scenario a pedestrian is moving with the smartphone.
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Therefore, only one or a few measurements can be observed at a given position.
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A more expressive visualization for this scenario is given with the CDF graph in \autoref{fig:DistMeasMeanNucPixel}~\subref{fig:DistMeasMeanNucPixel:c}.
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A more expressive visualization for this scenario is given with the CDF graph in \autoref{fig:DistMeasMeanNucPixel}~\subref{fig:DistMeasMeanNucPixel:c} which allows to reason about the underlying error distribution.
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Most striking is the curve of the \intelOld and \pixelOld combination with internal antenna (red dashed line).
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Firstly, about 80\% of the measurements have a negative error, \ie underestimate the true distance.
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Secondly, the curve indicates that the error distribution is a Gaussian mixture distribution with two modes at \SI{-3.201}{m} and \SI{0.0879}{m}, whereas the mode at \SI{-3.201}{m} provides about 60\% of the probability mass.
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The multimodality is greatly reduced by using the external antenna (orange dashed line), but still about 70\% of the measurements are smaller than the true distance.
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This indicates that the performance of this particular device combination could be improved by adding a constant factor of around \SI{1}{m}.
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However, using the same card together with the \pixelNew (red line) the error is already much smaller and only a small portion is negative.
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In this case no constant offset would significantly improve the measurements.
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Surprisingly, the error distribution of the \intelOld and \pixelNew combination with added external antennas (orange line) dramatically changes compared to the internal antenna.
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There are more negative error values and large positive errors are introduced, which where non-existent with the internal antenna setup.
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As a result no clear recommendation to either use the internal or external antennas with the \intelOld can be stated.
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While the external antenna significantly reduces negative errors of the \pixelOld it introduces large positive errors for the \pixelNew.
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At the same time the \pixelOld would perform reasonable well without external antennas.
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Underestimated distances are somewhat surprising, as only overestimated distances are expected with time based methods.
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Furthermore, underestimated measurements could result in negative distances which are hard to reason about.
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Therefore, one possible argument to choose the external antennas is to reduce the negative error while accepting some more positive errors.
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In the case of the \intelNew card the effect of the antennas is marginal.
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The error of the \pixelOld (blue dashed line) is primarily positive and mostly less than \SI{3}{m}.
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Using external antennas actually worsened the measurements producing much more negative errors.
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Note that this behavior is on the contrary to the error distributions of the \intelOld card.
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In contrast, the error of the \pixelNew with the \intelNew card is changes only insignificant with the antennas.
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While 50\% of the error is smaller than \SI{1.5}{m} with the external antenna (light green line), the error is smaller than \SI{2.5}{m} in the same range for the internal antenna (blue line).
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%TODO RSSI erwähnen
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In sum, with these results no clear tendency could be observed whether to use the internal or external antennas to reduce the error of the FTM measurements.
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Of course this is only true for this specific experiment, for different environmental conditions or sender and receiver positions the results may vary.
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More significant is the choice of the particular wireless card.
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Here, the \intelNew mainly gives better results compared to the \intelOld, \ie most of the errors are positive and in a range of up to \SI{5}{m}.
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Both the \pixelBoth produce similar results, but the \pixelOld tends to underestimate the distance more compared to the \pixelNew.
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Opposed to \etal{Ibrahim} \cite{ibrahim2018verification} findings no single constant offset which significantly improves the measurements across all device combinations could be found in our tests.
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However, the overall error of the device combinations is reasonable small and its distribution is mostly Gaussian-like, which justifies the basic applicability of the technique and devices for indoor positioning.
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\begin{figure}[ht]
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@@ -152,18 +195,18 @@ A more expressive visualization for this scenario is given with the CDF graph in
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\renewcommand{\arraystretch}{1.2}
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\begin{tabular}{@{}RRRRcRRR@{}}
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\toprule
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\theadbf{GT dist in m} & \multicolumn{3}{c}{\bfseries Pixel 2 XL} & \phantom{a} & \multicolumn{3}{c}{\bfseries Pixel 3a} \\ \cmidrule{2-4} \cmidrule{6-8}
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\theadbf{GT dist in m} & \multicolumn{3}{c}{\bfseries \pixelOld} & \phantom{a} & \multicolumn{3}{c}{\bfseries \pixelNew} \\ \cmidrule{2-4} \cmidrule{6-8}
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~ & \thead{$\bar{d}$} & \thead{$\sigma$} & \thead{error} && \thead{$\bar{d}$} & \thead{$\sigma$} & \thead{error} \\ \midrule
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2 & 2.472 & 1.165 & 0.472 && 0.032 & 1.615 & -1.968 \\
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4 & 3.976 & 1.755 & -0.024 && 2.645 & 1.834 & -1.355 \\
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6 & 6.605 & 1.978 & 0.605 && 6.577 & 1.780 & 0.577 \\
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8 & 8.780 & 1.510 & 0.780 && 6.861 & 1.506 & -1.139 \\
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10 & 11.520 & 1.522 & 1.520 && 10.454 & 2.176 & 0.454 \\
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12 & 12.096 & 1.582 & 0.096 && 10.342 & 1.875 & -1.658 \\
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14 & 14.327 & 1.870 & 0.327 && 12.866 & 2.309 & -1.134 \\
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16 & 17.765 & 1.488 & 1.765 && 15.992 & 0.879 & -0.008 \\
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18 & 22.569 & 1.458 & 4.569 && 18.962 & 1.491 & 0.962 \\
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20 & 24.058 & 1.820 & 4.058 && 20.742 & 1.318 & 0.742 \\
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2 & 0.032 & 1.615 & -1.968 && 2.472 & 1.165 & 0.472 \\
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4 & 2.645 & 1.834 & -1.355 && 3.976 & 1.755 & -0.024 \\
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6 & 6.577 & 1.780 & 0.577 && 6.605 & 1.978 & 0.605 \\
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8 & 6.861 & 1.506 & -1.139 && 8.780 & 1.510 & 0.780 \\
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10 & 10.454 & 2.176 & 0.454 && 11.520 & 1.522 & 1.520 \\
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12 & 10.342 & 1.875 & -1.658 && 12.096 & 1.582 & 0.096 \\
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14 & 12.866 & 2.309 & -1.134 && 14.327 & 1.870 & 0.327 \\
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16 & 15.992 & 0.879 & -0.008 && 17.765 & 1.488 & 1.765 \\
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18 & 18.962 & 1.491 & 0.962 && 22.569 & 1.458 & 4.569 \\
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20 & 20.742 & 1.318 & 0.742 && 24.058 & 1.820 & 4.058 \\
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\bottomrule
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\end{tabular}
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\caption{TODO}
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@@ -176,7 +219,7 @@ A more expressive visualization for this scenario is given with the CDF graph in
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\renewcommand{\arraystretch}{1.2}
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\begin{tabular}{@{}RRRRcRRR@{}}
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\toprule
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\theadbf{GT dist in m} & \multicolumn{3}{c}{\bfseries Intel AC 8260} & \phantom{a} & \multicolumn{3}{c}{\bfseries Intel AC 9460} \\ \cmidrule{2-4} \cmidrule{6-8}
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\theadbf{GT dist in m} & \multicolumn{3}{c}{\bfseries \intelOld} & \phantom{a} & \multicolumn{3}{c}{\bfseries \intelNew} \\ \cmidrule{2-4} \cmidrule{6-8}
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~ & \thead{$\bar{d}$} & \thead{$\sigma$} & \thead{error} && \thead{$\bar{d}$} & \thead{$\sigma$} & \thead{error} \\ \midrule
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2 & 0.221 & 1.460 & -1.779 && 2.282 & 1.724 & 0.282 \\
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4 & 2.175 & 0.541 & -1.825 && 4.446 & 1.973 & 0.446 \\
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@@ -20,9 +20,11 @@
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\newcommand{\pixelOld}{Pixel~2~XL\xspace}
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\newcommand{\pixelNew}{Pixel~3a\xspace}
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\newcommand{\pixelBoth}{Pixel~2~XL and~3a\xspace}
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\newcommand{\intelOld}{Intel~AC~8260\xspace}
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\newcommand{\intelNew}{Intel~AC~9460\xspace}
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\newcommand{\intelNew}{Intel~AC~9462\xspace}
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\newcommand{\intelBoth}{Intel~AC~8260 and~9462\xspace}
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% keyword macros
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\newcommand{\docIBeacon}{iBeacon}
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