kopia lustrzana https://github.com/ha7ilm/csdr
89 wiersze
2.4 KiB
Matlab
Executable File
89 wiersze
2.4 KiB
Matlab
Executable File
#!/usr/bin/octave
|
|
|
|
%you need to first install the parallel and struct packages:
|
|
%pkg install -forge struct
|
|
%pkg install -forge parallel
|
|
pkg load parallel
|
|
|
|
system('cat /dev/urandom | csdr pack_bits_8to1_u8_u8 | csdr psk_modulator_u8_c 2 | csdr gain_ff 0.25 | csdr psk31_interpolate_sine_cc 256 | csdr add_n_zero_samples_at_beginning_f 170 | dd iflag=fullblock bs=8M count=1 of=/tmp/psk31-raw-data');
|
|
|
|
function output=shrun(cmd, type, minsize)
|
|
SIGTERM=15;
|
|
output=[];
|
|
cmd
|
|
[pin, pout, pid]=popen2('bash',{'-c', cmd});
|
|
%fclose(pin);
|
|
do
|
|
sleep(0.3)
|
|
fwrite(stdout,'.');
|
|
%size(output)
|
|
%output
|
|
current_output=fread(pout, Inf, type);
|
|
frewind(pout);
|
|
output=[output; current_output];
|
|
until(size(output)(1)>=minsize)
|
|
waitpid(pid);
|
|
kill(pid, SIGTERM);
|
|
fclose(pin);
|
|
fclose(pout);
|
|
end
|
|
|
|
function variance=run_var(snr, which_ted)
|
|
disp('ran a command')
|
|
out_vect=shrun(sprintf('cat /tmp/psk31-raw-data | csdr awgn_cc %d --snrshow-no| csdr timing_recovery_cc %s 256 --add_q --output_indexes | CSDR_FIXED_BUFSIZE=2048 csdr normalized_timing_variance_u32_f 256 85', snr, which_ted), 'float32', 2);
|
|
disp('run_var output:');
|
|
out_vect'
|
|
variance=out_vect(2);
|
|
end
|
|
|
|
function variances=mkvarplot(which_ted, snrs)
|
|
fun = @(x) run_var(x, which_ted);
|
|
variances=pararrayfun(nproc, fun, snrs);
|
|
%{
|
|
variances=[]
|
|
for snr=snrs
|
|
snr
|
|
variances=[variances run_var(snr, which_ted)];
|
|
end
|
|
%}
|
|
end
|
|
|
|
function fmtplot(h)
|
|
FN = findall(h,'-property','FontName');
|
|
set(FN,'FontName','/usr/share/fonts/truetype/ttf-dejavu/DejaVuSerifCondensed.ttf');
|
|
set(FN,'FontName','times');
|
|
FS = findall(h,'-property','FontSize');
|
|
set(FS,'FontSize',18);
|
|
xlabel('E_b/N_0 [dB]');
|
|
ylabel('Phase error variance [rad^2]');
|
|
end
|
|
|
|
snrs=-5:5:30
|
|
%snrs=[10]
|
|
error_values_gardner=mkvarplot('EARLYLATE',snrs);
|
|
%{
|
|
snrs_earlylate=0:256
|
|
error_values_earlylate=mkvarplot('EARLYLATE',snrs_earlylate);
|
|
%}
|
|
|
|
%graphics_toolkit("gnuplot")
|
|
h=figure(1);
|
|
|
|
|
|
ebn0=snrs-13.26-10*log10(1/256.)
|
|
%13.56 dB is the difference between the real (measured) SNR and the number input to awgn_cc
|
|
|
|
semilogy(ebn0, error_values_gardner, 'linewidth', 2);
|
|
title('Estimation variance');
|
|
fmtplot(h)
|
|
pause
|
|
|
|
%{
|
|
semilogy(snrs_earlylate, error_values_earlylate, 'linewidth', 2);
|
|
title('S-curve for early-late TED');
|
|
fmtplot(h)
|
|
pause
|
|
%}
|
|
|
|
system('rm /tmp/psk31-raw-data');
|