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% fsk4.m
%
% Brady O'Brien October 2015
%
% 4FSK modem attempt from the DMR spec
graphics_toolkit("gnuplot");
fm; % analog FM modulator functions
pkg load signal;
% Init function for modem ------------------------------------------------------------
function fsk4_states = fsk4_init(fsk4_states,fsk4_info)
Fs = fsk4_states.Fs = 48000; %Sample rate
Rs = fsk4_states.Rs = fsk4_info.rs; %Symbol rate
M = fsk4_states.M = fsk4_states.Fs/fsk4_states.Rs; %Samples per symbol
% Set up 4FSK raised cosine filter. This probably screws up perf if we were using
% optimal mod and dmeods but helps performance when using nasty old analog FM mods
% and demods
empty_filter = [zeros(1,99) 1];
rf = (0:(Fs/2));
%If there's no filter with this modem configuration, don't bother generating one
if fsk4_info.no_filter
fsk4_states.tx_filter = empty_filter;
fsk4_states.rx_filter = empty_filter;
else
fsk4_states.tx_filter = fir2(400 ,rf/(Fs/2),fsk4_info.tx_filt_resp(rf));
fsk4_states.rx_filter = fir2(400 ,rf/(Fs/2),fsk4_info.rx_filt_resp(rf));
endif
%fsk4_states.tx_filter = fsk4_states.rx_filter = [zeros(1,99) 1];
%Set up the 4FSK symbols
fsk4_states.symmap = fsk4_info.syms / fsk4_info.max_dev;
fm_states.Ts = M;
fm_states.Fs = Fs;
fm_states.fc = 0;
fm_states.fm_max = fsk4_info.max_dev*2;
fm_states.fd = fsk4_info.max_dev;
fm_states.pre_emp = fm_states.de_emp = 0;
fm_states.output_filter = 0;
fm_states.ph_dont_limit = 1;
fsk4_states.fm_states = analog_fm_init(fm_states);
fsk4_states.modinfo = fsk4_info;
fsk4_states.verbose = 0;
endfunction
%Integrate over data and dump every M samples
function d = idmp(data, M)
d = zeros(1,length(data)/M);
for i = 1:length(d)
d(i) = sum(data(1+(i-1)*M:i*M));
end
endfunction
% DMR modulator ----------------------------------------------------------
function [tx, tx_filt, tx_stream] = fsk4_mod(fsk4_states, tx_bits)
verbose = fsk4_states.verbose
hbits = tx_bits(1:2:length(tx_bits));
lbits = tx_bits(2:2:length(tx_bits));
%Pad odd bit lengths
if(length(hbits)!=length(lbits))
lbits = [lbits 0];
end
tx_symbols = lbits + hbits*2 + 1;
M = fsk4_states.M;
nsym = length(tx_symbols);
nsam = nsym*M;
tx_stream = zeros(1,nsam);
for i=1:nsym
tx_stream(1+(i-1)*M:i*M) = fsk4_states.symmap(tx_symbols(i));
end
tx_filt = filter(fsk4_states.tx_filter, 1, tx_stream);
tx = analog_fm_mod(fsk4_states.fm_states, tx_filt);
if verbose
figure(10);
plot(20*log10(abs(fft(tx))))
title("Spectrum of modulated 4FSK")
endif
endfunction
% Integrate and Dump 4FSK demod ----------------------------------------------------
function bits = fsk4_demod_thing(fsk4_states, rx)
M = fsk4_states.M;
Fs = fsk4_states.Fs;
verbose = fsk4_states.verbose;
t = (0:length(rx)-1);
symup = fsk4_states.modinfo.syms;
% Integrator is like an FIR filter with rectangular window coeffs.
% This has some nasty side lobes so lets limit the overall amount
% of noise getting in. tx filter just happens to work, but I imagine
% other LPF would as well.
Fs = fsk4_states.Fs;
rf = (0:(Fs/2));
rx_filter_a = fir1(100 ,.2);
rx_filter_b = fsk4_states.rx_filter;
rx_filter_n = [zeros(1,99) 1];
rx = filter(rx_filter_b, 1, rx);
sym1m = exp(-j*2*pi*(symup(1)/Fs)*t).*rx;
sym2m = exp(-j*2*pi*(symup(2)/Fs)*t).*rx;
sym3m = exp(-j*2*pi*(symup(3)/Fs)*t).*rx;
sym4m = exp(-j*2*pi*(symup(4)/Fs)*t).*rx;
% this puppy found by experiment between 1 and M. Will vary with different
% filter impulse responses, as delay will vary. f you add M to it coarse
% timing will adjust by 1.
fine_timing = 54;
sym1m = idmp(sym1m(fine_timing:length(sym1m)),M); sym1m = (real(sym1m).^2+imag(sym1m).^2);
sym2m = idmp(sym2m(fine_timing:length(sym2m)),M); sym2m = (real(sym2m).^2+imag(sym2m).^2);
sym3m = idmp(sym3m(fine_timing:length(sym3m)),M); sym3m = (real(sym3m).^2+imag(sym3m).^2);
sym4m = idmp(sym4m(fine_timing:length(sym4m)),M); sym4m = (real(sym4m).^2+imag(sym4m).^2);
figure(2);
nsym = 500;
%subplot(411); plot(sym1m(1:nsym))
%subplot(412); plot(sym2m(1:nsym))
%subplot(413); plot(sym3m(1:nsym))
%subplot(414); plot(sym4m(1:nsym))
plot((1:nsym),sym1m(1:nsym),(1:nsym),sym2m(1:nsym),(1:nsym),sym3m(1:nsym),(1:nsym),sym4m(1:nsym))
[x iv] = max([sym1m; sym2m; sym3m; sym4m;]);
bits = zeros(1,length(iv*2));
figure(3);
hist(iv);
for i=1:length(iv)
bits(1+(i-1)*2:i*2) = [[0 0];[0 1];[1 0];[1 1]](iv(i),(1:2));
end
endfunction
function dat = bitreps(in,M)
dat = zeros(1,length(in)*M);
for i=1:length(in)
dat(1+(i-1)*M:i*M) = in(i);
end
endfunction
% Minimal Running Disparity, 4 symbol encoder
% This is a simple 1 bit to 1 symbol encoding for 4fsk modems built
% on old fashoned FM radios.
function syms = mrd4(bits)
syms = zeros(1,length(bits));
rd=0;
lastsym=0;
for n = (1:length(bits))
bit = bits(n);
sp = [1 3](bit+1); %Map a bit to a +1 or +3
[x,v] = min(abs([rd+sp rd-sp])); %Select +n or -n, whichever minimizes disparity
ssel = [sp -sp](v);
if(ssel == lastsym)ssel = -ssel;endif %never run 2 of the same syms in a row
syms(n) = ssel; %emit the symbol
rd = rd + ssel; %update running disparity
lastsym = ssel; %remember this symbol for next time
end
endfunction
% Minimal Running Disparity, 8 symbol encoder
% This is a simple 2 bit to 1 symbol encoding for 8fsk modems built
% on old fashoned FM radios.
function syms = mrd8(bits)
bitlen = length(bits);
if mod(bitlen,2) == 1
bits = [bits 0]
endif
syms = zeros(1,length(bits)*.5);
rd=0;
lastsym=0;
for n = (1:2:length(bits))
bit = (bits(n)*2)+bits(n+1);
sp = [1 3 7 5](bit+1); %Map a bit to a +1 or +3
[x,v] = min(abs([rd+sp rd-sp])); %Select +n or -n, whichever minimizes disparity
ssel = [sp -sp](v);
if(ssel == lastsym)ssel = -ssel;endif %never run 2 of the same syms in a row
syms((n+1)/2) = ssel; %emit the symbol
rd = rd + ssel; %update running disparity
lastsym = ssel; %remember this symbol for next time
end
endfunction
% "Manchester 4" encoding
function syms = mane4(bits)
syms = zeros(1,floor(bits/2)*2);
for n = (1:2:length(bits))
bit0 = bits(n);
bit1 = bits(n+1);
sel = 2*bit0+bit1+1;
syms(n:n+1) = [[3 -3];[-3 3];[1 -1];[-1 1]]( sel,(1:2) );
end
endfunction
function out = fold_sum(in,l)
sublen = floor(length(in)/l);
out = zeros(1,l);
for i=(1:sublen)
v = in(1+(i-1)*l:i*l);
out = out + v;
end
endfunction
function [bits err rxphi] = fsk4_demod_fmrid(fsk4_states, rx, enable_fine_timing = 0)
%Demodulate fsk signal with an analog fm demod
rxd = analog_fm_demod(fsk4_states.fm_states,rx);
M = fsk4_states.M;
verbose = fsk4_states.verbose;
%This is the ideal fine timing, assuming the same offset in nfbert
fine_timing = 61;
%This is meant to be adjusted by the fine timing estimator. comment out for
%ideal timing
%fine_timing = 59;
%RRC filter to get rid of some of the noise
rxd = filter(fsk4_states.rx_filter, 1, rxd);
%Try and figure out where sampling should happen over 30 symbol periods
diffsel = fold_sum(abs(diff( rxd(3001:3001+(M*30)) )),10);
if verbose
figure(11);
plot(diffsel);
title("Fine timing estimation");
endif
%adjust fine timing
[v iv] = min(diffsel);
if enable_fine_timing
fine_timing = 59 + iv;
endif
rxphi = iv;
%sample symbols
sym = rxd(fine_timing:M:length(rxd));
if verbose
figure(4)
plot(sym(1:1000));
title("Sampled symbols")
endif
%eyediagram(afsym,2);
% Demod symbol map. I should probably figure a better way to do this.
% After sampling, the furthest symbols tend to be distributed about .80
% A little cheating to demap the symbols
% Take a histogram of the sampled symbols, find the center of the largest distribution,
% and correct the symbol map to match it
[a b] = hist(abs(sym),50);
[a ii] = max(a);
%grmax = abs(b(ii));
%grmax = (grmax<.65)*.65 + (grmax>=.65)*grmax;
grmax = .84;
dmsyms = rot90(fsk4_states.symmap*grmax)
(dmsyms(2)+dmsyms(1))/2
if verbose
figure(2)
hist(abs(sym),200);
title("Sampled symbol histogram")
endif
%demap the symbols
[err, symout] = min(abs(sym-dmsyms));
if verbose
figure(3)
hist(symout);
title("De-mapped symbols")
endif
bits = zeros(1,length(symout)*2);
%Translate symbols back into bits
for i=1:length(symout)
bits(1+(i-1)*2:i*2) = [[1 1];[1 0];[0 1];[0 0]](symout(i),(1:2));
end
endfunction
% Frequency response of the DMR raised cosine filter
% from ETSI TS 102 361-1 V2.2.1 page 111
dmr.tx_filt_resp = @(f) sqrt(1.0*(f<=1920) - cos((pi*f)/1920).*1.0.*(f>1920 & f<=2880));
dmr.rx_filt_resp = dmr.tx_filt_resp;
dmr.max_dev = 1944;
dmr.syms = [-1944 -648 1944 648];
dmr.rs = 4800;
dmr.no_filter = 0;
dmr.demod_fx = @fsk4_demod_fmrid;
global dmr_info = dmr;
% No-filter 4FSK 'ideal' parameters
nfl.tx_filt_resp = @(f) 1;
nfl.rx_filt_resp = nfl.tx_filt_resp;
nfl.max_dev = 7200;
%nfl.syms = [-3600 -1200 1200 3600];
nfl.syms = [-7200,-2400,2400,7200];
nfl.rs = 4800;
nfl.no_filter = 1;
nfl.demod_fx = @fsk4_demod_thing;
global nflt_info = nfl;
%Some parameters for the NXDN filters
nxdn_al = .2;
nxdn_T = 416.7e-6;
nxdn_fl = ((1-nxdn_al)/(2*nxdn_T));
nxdn_fh = ((1+nxdn_al)/(2*nxdn_T));
%Frequency response of the NXDN filters
% from NXDN TS 1-A V1.3 page 13
% Please note : NXDN not fully implemented or tested
nxdn_H = @(f) 1.0*(f<nxdn_fl) + cos( (nxdn_T/(4*nxdn_al))*(2*pi*f-(pi*(1-nxdn_al)/nxdn_T)) ).*(f<=nxdn_fh & f>nxdn_fl);
nxdn_P = @(f) (f<=nxdn_fh & f>0).*((sin(pi*f*nxdn_T))./(.00001+(pi*f*nxdn_T))) + 1.0*(f==0);
nxdn_D = @(f) (f<=nxdn_fh & f>0).*((pi*f*nxdn_T)./(.00001+sin(pi*f*nxdn_T))) + 1.0*(f==0);
nxdn.tx_filt_resp = @(f) nxdn_H(f).*nxdn_P(f);
nxdn.rx_filt_resp = @(f) nxdn_H(f).*nxdn_D(f);
nxdn.rs = 4800;
nxdn.max_dev = 1050;
nxdn.no_filter = 0;
nxdn.syms = [-1050,-350,350,1050];
nxdn.demod_fx = @fsk4_demod_fmrid;
global nxdn_info = nxdn;
% Bit error rate test ----------------------------------------------------------
% Params - aEsNodB - EbNo in decibels
% - timing_offset - how far the fine timing is offset
% - bitcnt - how many bits to check
% - demod_fx - demodulator function
% Returns - ber - teh measured BER
% - thrcoh - theory BER of a coherent demod
% - thrncoh - theory BER of non-coherent demod
function [ber thrcoh thrncoh] = nfbert(aEsNodB,modem_config, bitcnt=100000, timing_offset = 10)
rand('state',1);
randn('state',1);
%How many bits should this test run?
bitcnt = 120000;
test_bits = [zeros(1,100) rand(1,bitcnt)>.5]; %Random bits. Pad with zeros to prime the filters
fsk4_states.M = 1;
fsk4_states = fsk4_init(fsk4_states,modem_config);
%Set this to 0 to cut down on the plotting
fsk4_states.verbose = 1;
Fs = fsk4_states.Fs;
Rb = fsk4_states.Rs * 2; % Multiply symbol rate by 2, since we have 2 bits per symbol
tx = fsk4_mod(fsk4_states,test_bits);
%add noise here
%shamelessly copied from gmsk.m
EsNo = 10^(aEsNodB/10);
EbNo = EsNo
variance = Fs/(Rb*EbNo);
nsam = length(tx);
noise = sqrt(variance/2)*(randn(1,nsam) + j*randn(1,nsam));
rx = tx*exp(j*pi/2) + noise;
rx = rx(timing_offset:length(rx));
rx_bits = modem_config.demod_fx(fsk4_states,rx);
ber = 1;
%thing to account for offset from input data to output data
%No preamble detection yet
ox = 1;
for offset = (1:100)
nerr = sum(xor(rx_bits(offset:length(rx_bits)),test_bits(1:length(rx_bits)+1-offset)));
bern = nerr/(bitcnt-offset);
if(bern < ber)
ox = offset;
best_nerr = nerr;
end
ber = min([ber bern]);
end
offset = ox;
printf("\ncoarse timing: %d nerr: %d\n", offset, best_nerr);
% Coherent BER theory
thrcoh = erfc(sqrt(EbNo));
% non-coherent BER theory calculation
% It was complicated, so I broke it up
ms = 4;
ns = (1:ms-1);
as = (-1).^(ns+1);
bs = (as./(ns+1));
cs = ((ms-1)./ns);
ds = ns.*log2(ms);
es = ns+1;
fs = exp( -(ds./es)*EbNo );
thrncoh = ((ms/2)/(ms-1)) * sum(bs.*((ms-1)./ns).*exp( -(ds./es)*EbNo ));
endfunction
% RX fine timing estimation playground
function rxphi = fine_ex(timing_offset = 1)
global dmr_info;
global nxdn_info;
global nflt_info;
rand('state',1);
randn('state',1);
bitcnt = 12051;
test_bits = [zeros(1,100) rand(1,bitcnt)>.5]; %Random bits. Pad with zeros to prime the filters
t_vec = [0 0 1 1];
%test_bits = repmat(t_vec,1,ceil(24000/length(t_vec)));
fsk4_states.M = 1;
fsk4_states = fsk4_init(fsk4_states,dmr_info);
Fs = fsk4_states.Fs;
Rb = fsk4_states.Rs * 2; %Multiply symbol rate by 2, since we have 2 bits per symbol
tx = fsk4_mod(fsk4_states,test_bits);
%add noise here
%shamelessly copied from gmsk.m
%EsNo = 10^(aEsNodB/10);
%EbNo = EsNo
%variance = Fs/(Rb*EbNo);
%nsam = length(tx);
%noise = sqrt(variance/2)*(randn(1,nsam) + j*randn(1,nsam));
%rx = tx*exp(j*pi/2) + noise;
rx = tx;
rx = rx(timing_offset:length(rx));
[rx_bits biterr rxphi] = fsk4_demod_fmrid(fsk4_states,rx);
ber = 1;
%thing to account for offset from input data to output data
%No preamble detection yet
ox = 1;
for offset = (1:100)
nerr = sum(xor(rx_bits(offset:length(rx_bits)),test_bits(1:length(rx_bits)+1-offset)));
bern = nerr/(bitcnt-offset);
if(bern < ber)
ox = offset;
best_nerr = nerr;
end
ber = min([ber bern]);
end
offset = ox;
printf("\ncoarse timing: %d nerr: %d\n", offset, best_nerr);
endfunction
%Run over a wide range of offsets and make sure fine timing makes sense
function fsk4_rx_phi(socket)
%pkg load parallel
offrange = [100:200];
[a b c phi] = pararrayfun(1.25*nproc(),@nfbert,10*length(offrange),offrange);
close all;
figure(1);
clf;
plot(offrange,phi);
endfunction
% Run this function to compare the theoretical 4FSK modem performance
% with our DMR modem simulation
function fsk4_ber_curves
global dmr_info;
global nxdn_info;
global nflt_info;
EbNodB = 1:20;
bers_tco = bers_real = bers_tnco = bers_idealsim = ones(1,length(EbNodB));
%vectors of the same param to pass into pararrayfun
dmr_infos = repmat(dmr_info,1,length(EbNodB));
nflt_infos = repmat(nflt_info,1,length(EbNodB));
thing = @fsk4_demod_thing;
% Lovely innovation by Brady to use all cores and really speed up the simulation
%try
pkg load parallel
bers_idealsim = pararrayfun(floor(1.25*nproc()),@nfbert,EbNodB,nflt_infos);
[bers_real,bers_tco,bers_tnco] = pararrayfun(floor(1.25*nproc()),@nfbert,EbNodB,dmr_infos);
%catch
% printf("You should install package parallel. It'll make this run way faster\n");
% for ii=(1:length(EbNodB));
%[bers_real(ii),bers,tco(ii),bers_tnco(ii)] = nfbert(EbNodB(ii));
% end
%end_try_catch
close all
figure(1);
clf;
semilogy(EbNodB, bers_tnco,'r;4FSK non-coherent theory;')
hold on;
semilogy(EbNodB, bers_tco,'b;4FSK coherent theory;')
semilogy(EbNodB, bers_real ,'g;4FSK DMR simulation;')
semilogy(EbNodB, bers_idealsim, 'v;FSK4 Ideal Non-coherent simulation;')
hold off;
grid("minor");
axis([min(EbNodB) max(EbNodB) 1E-5 1])
legend("boxoff");
xlabel("Eb/No (dB)");
ylabel("Bit Error Rate (BER)")
endfunction