diff options
| author | Author Name <[email protected]> | 2023-07-07 12:20:59 +0930 |
|---|---|---|
| committer | David Rowe <[email protected]> | 2023-07-07 12:29:06 +0930 |
| commit | ac7c48b4dee99d4c772f133d70d8d1b38262fcd2 (patch) | |
| tree | a2d0ace57a9c0e2e5b611c4987f6fed1b38b81e7 /octave/hf_sim.m | |
shallow zip-file copy from codec2 e9d726bf20
Diffstat (limited to 'octave/hf_sim.m')
| -rw-r--r-- | octave/hf_sim.m | 78 |
1 files changed, 78 insertions, 0 deletions
diff --git a/octave/hf_sim.m b/octave/hf_sim.m new file mode 100644 index 0000000..c9105c0 --- /dev/null +++ b/octave/hf_sim.m @@ -0,0 +1,78 @@ +% hf_sim.m +% David Rowe March 2014 +% +% Two path CCIR poor HF channel simulation, with apaologies to PathSim + +% Init HF channel model from stored sample files of spreading signal ---------------------------------- + +global spread; +global spread_2ms; +global hf_gain; + +% convert "spreading" samples from 1kHz carrier at Fs to complex +% baseband, generated by passing a 1kHz sine wave through PathSim with +% the ccir-poor model, enabling one path at a time. Because I'm too +% lazy to generate my own spreading signals + +Fc = 1000; Fs=8000; +fspread = fopen("../raw/sine1k_2Hz_spread.raw","rb"); +spread1k = fread(fspread, "int16")/10000; +fclose(fspread); +fspread = fopen("../raw/sine1k_2ms_delay_2Hz_spread.raw","rb"); +spread1k_2ms = fread(fspread, "int16")/10000; +fclose(fspread); + +% down convert to complex baseband + +spreadbb = spread1k.*exp(-j*(2*pi*Fc/Fs)*(1:length(spread1k))'); +spreadbb_2ms = spread1k_2ms.*exp(-j*(2*pi*Fc/Fs)*(1:length(spread1k_2ms))'); + +% remove -2000 Hz image + +b = fir1(50, 5/Fs); +spread = filter(b,1,spreadbb); +spread_2ms = filter(b,1,spreadbb_2ms); + +% discard first 1000 samples as these were near 0, probably as +% PathSim states were ramping up + +spread = spread(1000:length(spread)); +spread_2ms = spread_2ms(1000:length(spread_2ms)); + +hf_gain = 1.0/sqrt(var(spread)+var(spread_2ms)); + +% This function simulates the HF channel at 8kHz for real signals. A +% good use case is passing a vector of speech samples through it to +% simulate SSB over HF. There's a really good reason for the 300 - +% 3000 Hz filter that escapes me right now :-) + +function [sim_out snr3kHz_measured ] = hf_sim_real(sim_in, snr3kHz) + + % 300 - 3000 Hz filter + + b = fir1(100,[300/4000, 3000/4000], 'pass'); + + % det power of unit variance noise passed through this filter + + filter_var = var(filter(b,1,randn(1000,1))); + + % Start simulation + + s = hilbert(filter(b,1,sim_in)); + n1 = length(s); n2 = length(spread); + n = min(n1,n2); + path1 = s(1:n) .* spread(1:n); + path2 = s(1:n) .* spread_2ms(1:n); + delay = floor(0.002*Fs); + + combined = path1(delay+1:n) + path2(1:n-delay); + + snr = 10 .^ (snr3kHz/10); + variance = (combined'*combined)/(snr*n); + noise = sqrt(variance*0.5/filter_var)*(randn(n-delay,1) + j*randn(n-delay,1)); + filtered_noise = filter(b,1,noise); + + sim_out = real(combined+filtered_noise); + snr3kHz_measured = 10*log10(var(real(combined))/var(real(filtered_noise))); +endfunction + |
