- improvement: use Integrate and Dump filter

git-svn-id: http://moon:8086/svn/matlab/trunk@113 801c6759-fa7c-4059-a304-17956f83a07c
This commit is contained in:
2019-01-07 14:54:30 +00:00
parent dd4bd4fa72
commit 7293ec803f
+44 -26
View File
@@ -24,7 +24,7 @@
function [bits] = garage_ip (varargin)
params = struct ('x', [], 'sampleRate', 48000, 'numSamplesPerSym', 16, 'loopFilterGain', 1.0, 'with_filter', 0, 'k_noise', 0.00);
params = struct ('x', [], 'sampleRate', 48000, 'numSamplesPerSym', 16, 'loopFilterGain', 1.0, 'with_filter', 0, 'k_noise', 0.0);
units = struct ('x', '', 'sampleRate', '1/s', 'numSamplesPerSym', 'sps', 'loopFilterGain', '', 'with_filter', '', 'k_noise', '');
% Parse parameters
@@ -53,6 +53,7 @@ numSymsPauseBetweenBurst = 25;
syms = rand(numSyms, 1) > 0.5;
bit = 0;
id_bit = 0;
% Line coding
syms_m = manchester(syms);
@@ -75,6 +76,8 @@ if isempty(params.x)
if params.with_filter
[b,a] = butter(2, numSamplesPerSym/4*baud_init/fs);
y = k_s*filter(b, a, y) + k_n*randn(1, length(y));
else
y = k_s*y + k_n*randn(1, length(y));
end
else
x = params.x;
@@ -92,65 +95,77 @@ smp = [];
smp_n = [];
bits = [];
hyst_thr = 0.1;
v_min = 0; % Threshold max
v_max = 0; % Threshold min
hyst_thr = 0.5; % Threshold hysteresis
rho_thr = 1e-3; % Threshold forgetting factor
alpha_thr = 0.1; % Min/Max update factor
rho_thr = 0.999; % Threshold forgetting factor
alpha_thr = 0.002; % Min/Max update factor
k_leadLag = params.loopFilterGain; % Overall loopfilter gain (scales k_lead and k_lag)
k_lead = 0.1; % Symbol syncronizer loop filter lead
k_lag = 0.0001; % Symbol syncronizer loop filter lag
lag_accu = 0; % Symbol syncronizer loop filter
k_leak = 0; % Lag forgetting factor
loopThreshold = 0.05; % Processing threshold
k_leak = 0.0; % Lag forgetting factor
loopThreshold = 0.02; % Processing threshold
ns = 1; % Start sample source
n = 1; % Start sample sink
err = 0; % Error
alpha_sig = 0.5/numSamplesPerSym;
alpha_sig_m = alpha_sig/5;
v_sig = 0;
v_sig_m = 0.5;
k_id = 1/numSamplesPerSym;
id_accu = 0;
dc_corr = 0;
zbit = -1;
while ns < N
% Get next interpolated sample
is = fix(ns);
mu = ns - is;
ys = (1-mu).*y(is) + mu.*y(is+1);
ys = (1-mu).*y(is) + mu.*y(is+1) - dc_corr;
% Calculate threshold
v_thr = (abs(v_max) - abs(v_min)) / 2;
% Calculate Runing Min/Max
v_min = v_min * rho_thr;
v_max = v_max * rho_thr;
if ys < v_min
v_min = (1-alpha_thr)*v_min + alpha_thr*ys;
v_min = ys;
elseif ys > v_max
v_max = (1-alpha_thr)*v_max + alpha_thr*ys;
v_max = ys;
end
v_min = v_min + rho_thr*(v_thr - v_min);
v_max = v_max + rho_thr*(v_thr - v_max);
% Calculate DC offset correction
dc_corr = dc_corr + alpha_thr*(v_max + v_min);
% Signal detection
y_nodc = ys-v_thr;
v_sig = (1-alpha_sig)*v_sig + alpha_sig*y_nodc*y_nodc;
v_sig_m = (1-alpha_sig_m)*v_sig_m + alpha_sig_m*ys;
v_sig = (1-alpha_sig)*v_sig + alpha_sig*ys*ys;
isSignal = v_sig >= loopThreshold;
% Detect bit change
% Integrate and dump
id_accu = id_accu + k_id*ys;
if count == fix(numSamplesPerSym/2)
id_bit = id_accu >= 0.0;
id_accu = 0;
if isSignal
bits = [bits id_bit];
end
end
% Zero crossing detector
bitChg = 0;
if isSignal
if (bit == 1)
if ys < (hyst_thr*v_thr)
if ys < -hyst_thr
bit = 0;
bitChg = 1;
end
else
if ys > (hyst_thr*v_thr)
if ys > +hyst_thr
bit = 1;
bitChg = 1;
end
end
end
% Calc error
% Calc error on zero crossing
err = 0;
if (bitChg)
err = -(count - fix(numSamplesPerSym/2));
@@ -158,12 +173,12 @@ while ns < N
% Sample bit at baud rate = fs/numSamplesPerSym
if count == 0 && isSignal
bits = [bits bit];
if isSignal
smp = [smp ys];
smp_n = [smp_n n];
end
end;
if count > 0
count = count - 1;
else
@@ -173,8 +188,11 @@ while ns < N
lag_accu = lag_accu + k_leadLag*k_lag*err;
lag_accu = lag_accu * (1-k_leak);
baud = fs/((1+lag_accu)*numSamplesPerSym);
k_id = 1/((1+lag_accu)*numSamplesPerSym);
_err(n) = err;
_baud(n) = baud;
_err_baud(n) = baud - baud_init;
_id_accu(n) = id_accu;
_id_bit(n) = id_bit;
_cnt(n) = vcorr;
_v_tr(n) = v_sig;
_ys(n) = ys;
@@ -189,8 +207,8 @@ n = 1:length(_ys);
subplot(3, 1, 1)
plot(n, _ys, '-o', n, _v_tr, 'm', smp_n, smp, 'ro'); grid;
subplot(3, 1, 2)
plot(n, _err); grid;
plot(n, _err, n, _err_baud); grid; legend('err_{smp}', 'err_{baud}')
subplot(3, 1, 3)
plot(n, _baud); grid;
plot(n, _id_accu, n, _id_bit); grid; legend('accu_{id}', 'bit_{id}')
endfunction