Restructure ftrsd, update WER data, delete some old files.

git-svn-id: svn+ssh://svn.code.sf.net/p/wsjt/wsjt/branches/wsjtx@6316 ab8295b8-cf94-4d9e-aec4-7959e3be5d79
This commit is contained in:
Steven Franke 2015-12-26 15:47:49 +00:00
parent b1765e31cb
commit 47c20977a1
19 changed files with 289 additions and 121 deletions

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@ -13,8 +13,8 @@ set mxtics 2
set mytics 10
set grid
set logscale y
plot [3:9] [1e-4:1] "bmdata.dat" using ($1+29.7):(1-$2) with linespoints pt 4 title 'BM', \
plot [3:9] [1e-4:1] "bmdata.dat" using ($1+29.66):(1-$2) with linespoints pt 4 title 'BM', \
"bmtheory25.dat" using 1:3 with linespoints pt 5 title 'theory25', \
"bmtheory40.dat" using 1:3 with linespoints pt 5 title 'theory40', \
"bmtheory43.dat" using 1:3 with linespoints pt 5 title 'theory43', \
"ftdata-100000.dat" using ($1+29.7):(1-$2) every ::1 with linespoints pt 4 title 'FT'
"ftdata-100000.dat" using ($1+29.66):(1-$2) every ::1 with linespoints pt 4 title 'FT'

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@ -13,7 +13,11 @@ set mxtics 2
set mytics 10
set grid
set logscale y
plot [3:9] "ftdata-100000.dat" using ($1+29.1):(1-$2) with linespoints pt 7 title 'FT-100K', \
"kvasd-11999.dat" using ($1+29.1):(1-$2) with linespoints pt 8 title 'KV-11.999', \
plot [3:7] "ftdata-100000.dat" using ($1+29.1):(1-$2) with linespoints lt 1 pt 7 title 'FT-100K', \
"ftdata-10000.dat" using ($1+29.1):(1-$2) with linespoints lt 1 pt 7 title 'FT-10K', \
"ftdata-1000.dat" using ($1+29.1):(1-$2) with linespoints lt 1 pt 7 title 'FT-1K', \
"kvasd-8.dat" using ($1+29.1):(1-$2) with linespoints lt 2 pt 8 title 'KV-8', \
"kvasd-12.dat" using ($1+29.1):(1-$2) with linespoints lt 2 pt 8 title 'KV-12', \
"kvasd-15.dat" using ($1+29.1):(1-$2) with linespoints lt 2 pt 8 title 'KV-15', \
"bmdata.dat" using ($1+29.1):(1-$2) with linespoints pt 7 title 'BM', \
"wer.lab" with labels

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@ -1,31 +1,24 @@
# gnuplot script for "word error rate" figure
# gnuplot script for "Percent copy" figure
# run: gnuplot fig_wer2.gnuplot
# then: pdflatex fig_wer2.tex
#
set term epslatex standalone size 16cm,10cm
set term epslatex standalone size 5in,5*2/3in
set output "fig_wer2.tex"
set xlabel "$E_s/N_o$ (dB)"
set x2label "SNR in 2500 Hz (dB)"
set ylabel "WER"
#set autoscale xfix
#set autoscale x2fix
set xlabel "SNR in 2500 Hz Bandwidth (dB)"
set ylabel "Percent Copy"
set style func linespoints
set key on top outside nobox
set key off
set tics in
set mxtics 2
set mytics 10
set grid ytics
set logscale y
set x2tics out
set xtics nomirror
set mx2tics 2
#set xrange [3:13]
#set x2range [(3-29.7):(13-29.7)]
set xrange [4:7.5]
set x2range [(4-29.7):(7.5-29.7)]
set yrange [0.001:1.0]
plot "ftdata-1000-rf.dat" using ($1+29.7):(1-$2) every ::1 with linespoints pt 4 title "FT-1K-RF", \
"ftdata-100-rf.dat" using ($1+29.7):(1-$2) every ::1 with linespoints pt 5 title 'FT-100-RF', \
"kvasd-7999-rf.dat" using ($1+29.7):(1-$2) every ::1 with linespoints pt 6 title 'KV-8-RF', \
"kvasd-11999-rf.dat" using 1:(1-$2) every ::1 with linespoints pt 7 title 'KV-12-RF' axes x2y1
#"bmdata-rf.dat" using 1:(1-$2) every ::1 with linespoints pt 8 title 'BM-RF' axes x2y1
set grid
plot [-27:-22] [0:110] \
"ftdata-100000.dat" using 1:(100*$2) with linespoints lt 1 pt 7 title 'FT-100K', \
"ftdata-10000.dat" using 1:(100*$2) with linespoints lt 1 pt 7 title 'FT-10K', \
"ftdata-1000.dat" using 1:(100*$2) with linespoints lt 1 pt 7 title 'FT-1K', \
"ftdata-100.dat" using 1:(100*$2) with linespoints lt 1 pt 7 title 'FT-100', \
"kvasd-8.dat" using 1:(100*$2) with linespoints lt 2 pt 8 title 'KV-8', \
"kvasd-12.dat" using 1:(100*$2) with linespoints lt 2 pt 8 title 'KV-12', \
"kvasd-15.dat" using 1:(100*$2) with linespoints lt 2 pt 8 title 'KV-15', \
"bmdata.dat" using 1:(100*$2) with linespoints pt 11 title 'BM', \
"wer2.lab" with labels

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@ -1,9 +0,0 @@
fspread0 0.2, FT (ntrials=100)
-26.0 0.0072
-25.5 0.048
-25.0 0.17
-24.5 0.42
-24.0 0.68
-23.5 0.89
-23.0 0.979
-22.5 0.9936

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@ -1,9 +0,0 @@
fspread0 0.2, FT (ntrials=1000)
-26.0 0.
-25.5 0.
-25.0 0.21
-24.5 0.41
-24.0 0.64
-23.5 0.81
-23.0 0.89
-22.5 0.95

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@ -1,8 +1,9 @@
snr psuccess ntrials 1000, ntotal<76, nhard<44
-25.5 0.089
-25.0 0.23
-24.5 0.52
snr psuccess ntrials 1000, r6315
-26.0 0.010
-25.5 0.052
-25.0 0.22
-24.5 0.51
-24.0 0.80
-23.5 0.95
-23.0 0.9958
-23.5 0.956
-23.0 0.9958 x

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@ -1,10 +1,10 @@
snr psuccess ntrials 10000, ntotal<76, nhard<44
snr psuccess ntrials 10000 r6315
-26.5 0.004 x
-26.0 0.03
-25.5 0.13
-25.0 0.38
-24.5 0.71
-24.0 0.91
-23.5 0.99
-26.0 0.03 x
-25.5 0.107
-25.0 0.353
-24.5 0.653
-24.0 0.913
-23.5 0.983
-23.0 0.9987 x

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@ -1,11 +1,12 @@
snr psuccess 100000 trials, ntotal<76, nhard<44
-27.0 0.0
-26.5 0.007
-26.0 0.04
-25.5 0.16
-25.0 0.41
-24.5 0.75
-24.0 0.93700
-23.5 0.99000
-23.0 0.99954
snr psuccess 100000 trials r6315
-27.0 0.0 x
-26.5 0.007 x
-26.0 0.057
-25.5 0.207
-25.0 0.531
-24.5 0.822
-24.0 0.953
-23.5 0.99423
-23.0 0.99967 302956/303056

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@ -2,7 +2,7 @@
\lyxformat 474
\begin_document
\begin_header
\textclass paper
\textclass article
\use_default_options true
\maintain_unincluded_children false
\language english
@ -75,8 +75,7 @@
\begin_body
\begin_layout Title
A stochastic successive erasures soft-decision decoder for the JT65 (63,12)
Reed-Solomon code
Open Source Soft-Decision Decoder for the JT65 (63,12) Reed-Solomon code
\end_layout
\begin_layout Author
@ -104,7 +103,27 @@ y (KV) algebraic soft-decision decoder, licensed to K1JT and implemented
\end_layout
\begin_layout Section
Introduction
\begin_inset CommandInset label
LatexCommand label
name "sec:Introduction-and-Motivation"
\end_inset
Introduction and Motivation
\end_layout
\begin_layout Standard
To be written...
\end_layout
\begin_layout Section
\begin_inset CommandInset label
LatexCommand label
name "sec:JT65-messages-and"
\end_inset
JT65 messages and Reed Solomon Codes
\end_layout
\begin_layout Standard
@ -303,11 +322,11 @@ soft
\begin_layout Section
\begin_inset CommandInset label
LatexCommand label
name "sec:You've-got-to"
name "sec:Statistical Framework"
\end_inset
Do I feel lucky?
Statistical Framework
\end_layout
\begin_layout Standard
@ -1100,7 +1119,41 @@ An acceptable codeword with
\end_layout
\begin_layout Section
Theory and Simulations
\begin_inset CommandInset label
LatexCommand label
name "sec:Hinted-Decoding"
\end_inset
Hinted Decoding
\end_layout
\begin_layout Standard
Write this...
\end_layout
\begin_layout Section
\begin_inset CommandInset label
LatexCommand label
name "sec:Implementation-in-WSJT-X"
\end_inset
Implementation in WSJT-X
\end_layout
\begin_layout Standard
Write this...
\end_layout
\begin_layout Section
\begin_inset CommandInset label
LatexCommand label
name "sec:Theory,-Simulation,-and"
\end_inset
Decoder Performance Evaluation: Simulations and Real Data
\end_layout
\begin_layout Standard
@ -1341,7 +1394,7 @@ Number of trials needed to decode a received word versus Hamming distance
\end_layout
\begin_layout Section
\begin_layout Subsection
Comparison with Berlekamp-Massey and Koetter-Vardy
\end_layout
@ -1518,15 +1571,6 @@ Deep Search
\end_layout
\begin_layout Section
Hinted Decoding
\end_layout
\begin_layout Standard
...
Still to come ...
\end_layout
\begin_layout Section
Summary
\end_layout
@ -1619,5 +1663,159 @@ key "key-5"
Berlekamp-Massey decoder written by Phil Karn, http://www.ka9q.net/code/fec/
\end_layout
\begin_layout Section
\start_of_appendix
Signal to Noise Ratios
\end_layout
\begin_layout Standard
The signal to noise ratio in a bandwidth,
\begin_inset Formula $B$
\end_inset
, that is at least as large as the bandwidth occupied by the signal is:
\begin_inset Formula
\begin{equation}
SNR_{B}=\frac{P_{s}}{N_{o}B}\label{eq:SNR}
\end{equation}
\end_inset
where
\begin_inset Formula $P_{s}$
\end_inset
is the signal power,
\begin_inset Formula $N_{o}$
\end_inset
is one-sided noise power spectral density, and
\begin_inset Formula $B$
\end_inset
is the bandwidth in Hz.
In amateur radio applications, digital modes are often compared based on
the SNR defined in a 2.5 kHz reference bandwidth,
\begin_inset Formula $SNR_{2.5\,\mathrm{kHz}}$
\end_inset
.
\end_layout
\begin_layout Standard
In the professional literature, decoder performance is characterized in
terms of
\begin_inset Formula $E_{b}/N_{o}$
\end_inset
, the ratio of the energy collected per information bit,
\begin_inset Formula $E_{b}$
\end_inset
, to the one-sided noise power spectral density,
\begin_inset Formula $N_{o}$
\end_inset
, or in terms of
\begin_inset Formula $E_{s}/N_{o}$
\end_inset
, the ratio of the energy collected per received symbol,
\begin_inset Formula $E_{s}$
\end_inset
, and
\begin_inset Formula $N_{o}$
\end_inset
.
Denote the duration of a channel symbol by
\begin_inset Formula $\tau_{s}$
\end_inset
(for JT65,
\begin_inset Formula $\tau_{s}=0.375\,\mathrm{s}$
\end_inset
).
Signal power is related to the energy per symbol by
\begin_inset Formula
\begin{equation}
P_{s}=E_{s}/\tau_{s},\label{eq:signal_power}
\end{equation}
\end_inset
The total energy in a received JT65 message consisting of
\begin_inset Formula $n=63$
\end_inset
channel symbols is
\begin_inset Formula $63E_{s}$
\end_inset
.
The energy collected for each of the 72 bits of information conveyed by
the message is then
\begin_inset Formula
\begin{equation}
E_{b}=\frac{63E_{s}}{72}=0.875E_{s.}\label{eq:Eb_Es}
\end{equation}
\end_inset
Using equations (
\begin_inset CommandInset ref
LatexCommand ref
reference "eq:SNR"
\end_inset
)-(
\begin_inset CommandInset ref
LatexCommand ref
reference "eq:Eb_Es"
\end_inset
),
\begin_inset Formula $SNR_{2.5\,\mathrm{kHz}}$
\end_inset
can be written in terms of
\begin_inset Formula $E_{b}/N_{o}$
\end_inset
or
\begin_inset Formula $E_{s}/N_{o}$
\end_inset
:
\begin_inset Formula
\[
SNR_{2.5\,\mathrm{kHz}}=1.08\times10^{-3}\frac{E_{s}}{N_{o}}=1.23\times10^{-3}\frac{E_{b}}{N_{o}}.
\]
\end_inset
\end_layout
\begin_layout Standard
If all quantities are expressed in dB, then:
\end_layout
\begin_layout Standard
\begin_inset Formula
\[
SNR_{2.5\,\mathrm{kHz}}=(E_{b}/N_{o})_{\mathrm{dB}}-29.66\,\mathrm{dB}=(E_{s}/N_{o})_{\mathrm{dB}}-29.10\,\mathrm{dB}.
\]
\end_inset
\end_layout
\end_body
\end_document

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@ -1,9 +0,0 @@
kvasd with xlambda=11.999 and fspread=0.2
-26.0 0.020
-25.5 0.089
-25.0 0.26 5:12
-24.5 0.57 5:23
-24.0 0.83 5:30
-23.5 0.93
-23.0 0.986
-22.5 0.9952

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@ -1,8 +0,0 @@
kvasd with xlambda=11.999
-26.0 0.013
-25.5 0.07
-25.0 0.24
-24.5 0.61
-24.0 0.86
-23.5 0.98
-23.0 0.9987

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@ -0,0 +1,8 @@
kvasd with xlambda=12.000
-26.0 0.017
-25.5 0.085
-25.0 0.282
-24.5 0.600
-24.0 0.865
-23.5 0.975
-23.0 0.9988

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@ -0,0 +1,9 @@
kvasd with xlambda=15.000
-26.5 0.0023 (based on 55 good in 23650 attempts)
-26.0 0.023
-25.5 0.090
-25.0 0.309
-24.5 0.615
-24.0 0.879
-23.5 0.978
-23.0 0.99918 (based on 100 missed in 122281 attempts!)

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@ -1,8 +0,0 @@
kvasd with xlambda=7.999 and fspread=0.2
-26.0 0.013
-25.5 0.066
-25.0 0.24
-24.5 0.52
-24.0 0.79
-23.5 0.934
-23.0 0.981

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@ -1,8 +0,0 @@
kvasd with xlambda=7.999 AWGN
-26.0 0.000
-25.5 0.00
-25.0 0.00
-24.5 0.00
-24.0 0.00
-23.5 0.00
-23.0 0.9979

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@ -0,0 +1,8 @@
kvasd with xlambda=8 AWGN
-26.0 0.008
-25.5 0.061
-25.0 0.233
-24.5 0.539
-24.0 0.847
-23.5 0.966
-23.0 0.9980

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@ -1,3 +0,0 @@
5.2 0.018 FT
5.6 0.05 KV
7.5 0.05 BM