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| -rw-r--r-- | ma/safety_reset.tex | 7 |
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 |