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\contentsline {figure}{\numberline {6.1}{\ignorespaces Test rooms as well as the results delivered by the smart phones. Image courtesy of Google Maps.\relax }}{59}{figure.caption.39}
\contentsline {figure}{\numberline {6.2}{\ignorespaces Test room 2 with the positions of the smart phones.\relax }}{60}{figure.caption.40}
\addvspace {10\p@ }
+\contentsline {figure}{\numberline {C.1}{\ignorespaces Effects of the low frequency term on the demodulated output C/A wave on the GPS receiver (the explanations and figures are from top to bottom). If the synthesized frequency is correct, $f_{1}=f_{2}$, the low frequency term becomes a DC term and does not modify the output $d_{C/A}$ wave (first figure). If the frequency matches but the phase not, in this case the phase is shifted for $\pi $, then $d_{C/A}$ is inverted (second figure). If the phase shifts with time, then the amplitude and phase of $d_{C/A}$ will vary as well (third figure). Image courtesy of \citep {diggelen2009a-gps}.\relax }}{86}{figure.caption.48}
+\contentsline {figure}{\numberline {D.1}{\ignorespaces Cross-correlation on three different signals. Image courtesy of \citep {understandGPS}.\relax }}{87}{figure.caption.49}
+\contentsline {figure}{\numberline {F.1}{\ignorespaces Basic distance estimation principle for one satellite. Image courtesy of \citep {understandGPS}.\relax }}{91}{figure.caption.53}
+\contentsline {figure}{\numberline {F.2}{\ignorespaces Estimating the distance by phase shift $\Delta t =t_2 - t_1 =\tau $. Image courtesy of \citep {understandGPS}.\relax }}{92}{figure.caption.54}
+\contentsline {figure}{\numberline {F.3}{\ignorespaces Taylor series approximation for a point $a=0.5$ where $n$ is the Taylor polynomial degree.\relax }}{94}{figure.caption.55}