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authorNao Pross <np@0hm.ch>2021-12-18 18:44:25 +0100
committerNao Pross <np@0hm.ch>2021-12-18 18:44:25 +0100
commit531db6595ed6da81314db5b9d6d586b370bdceea (patch)
treef6864d97a32977986358e240be05358803b6f5f3 /doc
parentAdd patch that fixes GR bug in channel models (diff)
parentdoku implementation overview (diff)
downloadFading-531db6595ed6da81314db5b9d6d586b370bdceea.tar.gz
Fading-531db6595ed6da81314db5b9d6d586b370bdceea.zip
Merge remote-tracking branch 'origin/master'
Diffstat (limited to '')
-rw-r--r--doc/thesis/chapters/conclusions.tex6
-rw-r--r--doc/thesis/chapters/implementation.tex15
-rw-r--r--doc/thesis/chapters/introduction.tex9
3 files changed, 25 insertions, 5 deletions
diff --git a/doc/thesis/chapters/conclusions.tex b/doc/thesis/chapters/conclusions.tex
index 30af17d..2566bdf 100644
--- a/doc/thesis/chapters/conclusions.tex
+++ b/doc/thesis/chapters/conclusions.tex
@@ -3,6 +3,8 @@
\chapter{Conclusions}
-\subsection{Next Steps}
+\section{Next Steps}
-Create some exacter calculation environment to verifite the simulation in a exacter way. \ No newline at end of file
+Create some exacter calculation environment to verifite the simulation in a exacter way.
+
+Show the BER with the help of a least Square approximation. \ No newline at end of file
diff --git a/doc/thesis/chapters/implementation.tex b/doc/thesis/chapters/implementation.tex
index a597f14..d5d5244 100644
--- a/doc/thesis/chapters/implementation.tex
+++ b/doc/thesis/chapters/implementation.tex
@@ -345,7 +345,7 @@ This number represent the sinusoids which are simulated for each ray, for the fo
It can also be chosen whish statical model should be taken for the simulation Rayleigh or Rician. When the Rician model is taken also a realistic value for the factor \(K\) need to be given. Whish is something between zero and ten. As mentioned earlier, when \(K=0\) the distribution is the same as with the Rayleight model. For a faktor \(K = 5.1\) the probability function is gaussien distributed.
-The power delay profile which specify the delay in time for each impulse need to be in sample. For this delayed vector some realistic values are for the first delay \cite{Matlab}, when theirs non line of side zero. The second delayed path depend on the environment of measurement. In an indoor environment it is usually between \(1\cdot10^{-9}\) to \(1\cdot10^{-7}\) and in an outdoor environment between \(1\cdot10^{-7}\) to \(1\cdot10^{-5}\). The rest depends on the bandwidth.
+The power delay profile which specify the delay in time for each impulse need to be in sample. For this delayed vector some realistic values are for the first delay \cite{Mathworks}, when theirs non line of side zero. The second delayed path depend on the environment of measurement. In an indoor environment it is usually between \(1\cdot10^{-9}\) to \(1\cdot10^{-7}\) and in an outdoor environment between \(1\cdot10^{-7}\) to \(1\cdot10^{-5}\). The rest depends on the bandwidth.
The magnitudes of the pulses are given with the linear value. In practices the avarage path gain of a fading path is in the range of \([ -20 \text{dB} , 0\text{dB}]\).
@@ -367,7 +367,7 @@ and
\end{equation}.
\skelpar[5]{
- More simulation plots.
+ More simulation plots. Beschreiben.
}
\begin{table}[b]
@@ -471,6 +471,17 @@ The second part which is missing is to be able to change the timing plot for the
%TODO: Plots from the Hardware
\subsection{Incomplete parts}
+\subsubsection{Hardware clock}
+Unfortunately the SDR needs an external clock generator. For that a Rubidium Frequency STd. Model FS725 is used. Better said two of them,to make them more moveable and independent, with the clock frequency \SI{10}{\mega\hertz}. Those Rubidiums where used, because the syncretization, dosn`t work as planed in \ref{sec:preforming-implementation}.
+%TODO: Right squenz?
+Without those only the amplitudes could be seen in the Plots, with all the noise from the inter-symbol differences.
+
+\subsection{Issues}
+%TODO: überhaubt erwähnen ?
+Some of the issus was how do you correct the statistical models, if the is noise in the channel from the fading effect, especially when the doppler frequency is included. This was a problem, when the Parameter haven't the special case in which the the amplitude and the Phase shift can be seen. So how it can be verified that the plot, with the indicated values could be correct.
+For that to get a quick view on it a Mathlab little Matlab model for the different distribution where made.
+
+
\newgeometry{
inner = 15mm, outer = 15mm,
}
diff --git a/doc/thesis/chapters/introduction.tex b/doc/thesis/chapters/introduction.tex
index 8aa5c6f..0fadf26 100644
--- a/doc/thesis/chapters/introduction.tex
+++ b/doc/thesis/chapters/introduction.tex
@@ -22,4 +22,11 @@ The task description document is found in the appendix.
\section{Overview}
-\skelpar{Overview of the whole document.}
+In the first chapter some theoretical basics where introduced, which are imported for the topic and later on for the implementation. This theory covers the fundamentals of the modulation schemes and channel models used. Further more the mathematical basics for the different models in this project, to describe multipath fading are define in more detail.
+
+The next chapter contains the whole implementation part, description from the tools, which were used and how they are implemented, from the
+transmitter and receiver chains to the channel model with the different fading effect models. In addition to that, the problems and some open points in the project are discussed.
+
+At least the conclusion part, in which the results were showed and some further steps are discussed.
+
+