summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
-rw-r--r--ma/safety_reset.tex7
1 files changed, 3 insertions, 4 deletions
diff --git a/ma/safety_reset.tex b/ma/safety_reset.tex
index 6ebb935..5314bac 100644
--- a/ma/safety_reset.tex
+++ b/ma/safety_reset.tex
@@ -2023,10 +2023,9 @@ their impact on symbol error rate (SER):
in-band background noise which should correspond to lower symbol error rates.
\item[Demodulation correlator peak threshold factor.] The first step of our prototype demodulation algorithm is to
calculate the correlation between all $2^n+1$ Gold sequences
- % FIXME add a \ref here, describe proto demod alg somewhere
and to identify peaks corresponding to the input data containing a correctly aligned Gold sequence. The
threshold factor is a factor peaks of what magnitude compared to baseline noise levels are considered in the
- following maximum likelihood estimation (MLE) decoding. % FIXME do we actually do MLS?
+ following maximum likelihood estimation (MLE) decoding (cf.\ Figure \ref{fig_demo_sig_schema}).
\end{description}
Our results indicate that symbol error rate is a good proxy of demodulation performance. With decreasing signal-to-noise
@@ -2374,7 +2373,7 @@ After extensive simulations and testing of the individual modules of our solutio
experiment. We tried the demonstrator setup with an emulated noisy DSSS signal in real-time. Our experiment went without
any issues and the firmware implementation correctly reset the demonstrator's meter. We were happy to see that our
extensive testing paid off: The demonstrator setup worked on its first try.
-% TODO add some pictures of the finished demo setup in action
+% FIXME add pictures of the finished demo setup in action
% FIXME maybe add an SER curve here?
\section{Lessons learned}
@@ -2549,7 +2548,7 @@ correctly configure than it is to simply use separate hardware and secure the in
\newpage
-\nocite{*} % FIXME
+%\nocite{*} TODO: check unused references
\printbibliography[heading=bibintoc]
\newpage