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updates of framework

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- focus on AWG output power and lowpass characteristics
This commit is contained in:
Silas Oettinghaus
2024-04-26 14:08:21 +02:00
parent 0600abfcbf
commit 7c1d9850d6
25 changed files with 864 additions and 279 deletions
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66
Classes/00_signals/Electricalsignal.m
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@@ -28,8 +28,10 @@ classdef Electricalsignal < Signal
function pow = power(obj)
pow = mean( abs(obj.signal).^2 ) ;
pow = pow2db(pow)+30; %dbm
% Power of an electrical signal
R = 50;
pow = mean(abs(obj.signal).^2) / R; % Power in watts = V^2 / R
pow = 10*log10(pow) + 30; % Power in dB +30 = dBm
end
@@ -47,6 +49,66 @@ classdef Electricalsignal < Signal
end
function obj = normalize(obj,options)
arguments
obj Electricalsignal
options.mode normalization_mode = normalization_mode.rms
end
switch options.mode
case normalization_mode.milliwatt
curpow = sqrt(mean(obj.signal.^2)/50); %watt
tgtpow = sqrt(1e-3); %watt -> wir wollen milliwatt
scling = tgtpow/curpow;
obj.signal = obj.signal*scling;
case normalization_mode.rms
obj.signal = obj.signal / sqrt(mean(obj.signal.^2));
case normalization_mode.oneone
obj.signal = obj.signal - min(obj.signal);
obj.signal = obj.signal/max(abs(obj.signal));
obj.signal = (2*obj.signal) - 1;
end
end
function obj = setPower(obj,outputpower, mode)
arguments
obj Electricalsignal
outputpower
mode power_notation
end
switch mode
case power_notation.W
case power_notation.mW
outputpower_w = outputpower/1000; %mW to Watt
case power_notation.dBm
outputpower_w = 10^((outputpower-30)/10); % dBm to Watt
case power_notation.dBW
outputpower_w = 10^((outputpower)/10); % dBm to Watt
end
curpow = sqrt(mean(obj.signal.^2)/50); %watt mit 50 ohm ref
tgtpow = sqrt(outputpower_w); %watt -> wir wollen milliwatt
scling = tgtpow/curpow;
obj.signal = obj.signal*scling;
end
end

2
Classes/00_signals/Informationsignal.m
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@@ -28,7 +28,7 @@ classdef Informationsignal < Signal
function pow = power(obj)
pow = mean(abs(obj.signal),"all") ;
pow = mean(abs(obj.signal.^2),"all") ;
end

10
Classes/00_signals/Signal.m
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@@ -373,14 +373,14 @@ classdef Signal
fsig = obj.fs;
q = fsig/fsym;
if q > 10
sig = abs(obj.signal).^2;
if q > 10 && isinteger(q)
sig = (obj.signal);
else
sig = abs(obj.resample("fs_in",fsig,"fs_out",fsym*10).signal);
sig = (obj.resample("fs_in",fsig,"fs_out",fsym*30).signal);
q = 10;
end
figure(12)
figure()
clf
cursor = 200*q;
@@ -391,6 +391,8 @@ classdef Signal
s=s+1;
end
ylim([-3 3]);
end

44
Classes/01_transmit/AWG.m
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@@ -5,9 +5,10 @@ classdef AWG
properties(Access=public)
kover %oversampling factor e.g. 16
upsampling_method
repetitions %repeat the signal to generate a longer sequence?
fdac %needed
normalize %want to normalize at first? either 0 or 1
normalize2dac %want to normalize at first? either 0 or 1
bit_resolution %bit res. of quantizer (e.g. 5 bit)
dac_min
dac_max
@@ -32,8 +33,9 @@ classdef AWG
arguments
options.kover = 16;
options.upsampling_method upsampling_mode
options.repetitions = 1;
options.normalize = 1;
options.normalize2dac = 1;
options.fdac = 92e9;
options.bit_resolution = 5.5
options.dac_min = -0.5;
@@ -44,6 +46,7 @@ classdef AWG
options.lpf_type = 0;
options.f_cutoff = 32e9;
options.H_lpf Filter
end
fn = fieldnames(options);
@@ -59,9 +62,20 @@ classdef AWG
len_in = length(signalclass_in.signal);
if signalclass_in.fs ~= obj.fdac
signalclass_in = signalclass_in.resample("fs_in",signalclass_in.fs,"fs_out",obj.fdac);
end
% 1-3. actual processing of the signal (normalize->quantize->sample hold)
signalclass_in.signal = obj.process_(signalclass_in.signal);
% cast the inform. signal to electrical signal
signalclass_in = Electricalsignal(signalclass_in,"fs",obj.fdac*obj.kover,"logbook",signalclass_in.logbook);
% normalize to 0dBm before applying the lowpass
%signalclass_in = signalclass_in.normalize("mode","milliwatt");
signalclass_in = signalclass_in.setPower(12,"dBm");
% 4. Apply LPF on the signal
if obj.lpf_active
if isa(obj.H_lpf,'Filter')
@@ -75,8 +89,7 @@ classdef AWG
end
end
% cast the inform. signal to electrical signal
signalclass_in = Electricalsignal(signalclass_in,"fs",obj.fdac*obj.kover,"logbook",signalclass_in.logbook);
% append to logbook
current_class = class(obj);
@@ -108,16 +121,17 @@ classdef AWG
obj.signal_length = length(data_in);
if obj.normalize
% 0a Normalize the signal to 1 Vpp and set the amplitude of the signal
if obj.normalize2dac
% 0a Normalize the signal to full scale DAC range
data_in = data_in - min(data_in);
data_in = data_in/(max(data_in)-min(data_in));
else
% 0b Cut the Signal at -1 and 1 and scale to amplitude
data_in(data_in > 1) = 1;
data_in(data_in < -1) = -1;
data_in = data_in * (obj.dac_max-obj.dac_min);
data_in = data_in + obj.dac_min;
end
% 1. Quantize the signal
% 1. Quantize the signal - Full Scale is between obj.dac_min
% and dac_max. If signal is smaller in between, you won't use
% the full bit-resolution.
if obj.bit_resolution>0
elec_out = obj.quantization(data_in) ;
else
@@ -125,8 +139,16 @@ classdef AWG
end
% 2. Sample and hold + repeat (data_out: 1xsignal length)
if obj.upsampling_method == 1
% just use matlab function
elec_out = resample(elec_out,obj.kover,1);
elseif obj.upsampling_method == 2
% sample and hold
elec_out = repmat(elec_out,obj.repetitions,obj.kover);
elec_out = reshape(elec_out',[],1);
else
error('chosen upsampling method not implemented?');
end
% 3. Add skew (not implemented so far)
if obj.skew_active

8
Classes/01_transmit/PAMmapper.m
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@@ -24,6 +24,7 @@ classdef PAMmapper
if isa(signal_in,'Signal')
signal_in.signal = obj.map_(signal_in.signal);
signal_in = signal_in.normalize("mode","rms");
signal_in = signal_in.logbookentry();
out = signal_in;
else
@@ -57,7 +58,7 @@ classdef PAMmapper
pam_sig=2*pam_sig-3;
end
pam_sig = pam_sig .* 1/sqrt(5);
pam_sig = pam_sig/sqrt(5);
case 6
@@ -85,7 +86,7 @@ classdef PAMmapper
pam_sig=2*pam_sig-7;
end
pam_sig = pam_sig/sqrt(21);
case 16
% 16-ASK:
x1 = bitpattern(:,1);
@@ -126,6 +127,7 @@ classdef PAMmapper
elseif obj.unipolar==1
thres=[0.5,1.5,2.5];
end
thres = thres .* 1/sqrt(5);
case 6 %PAM 6
@@ -140,6 +142,8 @@ classdef PAMmapper
thres=0.5:6.5;
end
thres=thres./sqrt(21);
case 16
% 16-ASK
if obj.unipolar==0 && scale_mode==1

10
Classes/01_transmit/Pulseformer.m
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@@ -88,7 +88,7 @@ classdef Pulseformer
%Bau das Filter (hier rrc)
racos_len = obj.pulselength*2;
alpha = obj.rrcalpha;
h = rcosdesign(alpha,racos_len,sps);
h = rcosdesign(alpha,racos_len,sps,"normal");
h = h./ max(h);
end
@@ -118,8 +118,8 @@ classdef Pulseformer
% %Apply Filter using Matlab build in fctn.
h = rcosdesign(alpha,racos_len,sps);
h = h./ max(h);
% h = rcosdesign(alpha,racos_len,sps);
% h = h./ max(h);
%data_out_ = upfirdn(data_in,h,up,dn);
%
% %cut signal, which is longer due to fir filter
@@ -128,8 +128,8 @@ classdef Pulseformer
% data_out = data_out(st:en);
%scaling?! see pulsef module line 696
scale = max(max([abs(real(data_out)) abs(imag(data_out))])); %find max value from real and imag part
data_out = data_out./scale;
% scale = max(max([abs(real(data_out)) abs(imag(data_out))])); %find max value from real and imag part
% data_out = data_out./scale;
data_out = data_out';

54
Classes/04_DSP/EQ_silas.m
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@@ -12,6 +12,7 @@ classdef EQ_silas < handle
d_constellation %constellation points of the reference
y_out %equalizer output signal
d_out %decision output
% FFE coefficients always named with "e"
Ne
@@ -107,7 +108,7 @@ classdef EQ_silas < handle
end
function [signalclass_out] = process(obj,signalclass_in, reference_signalclass_in)
function [signalclass_out,symbols_out] = process(obj,signalclass_in, reference_signalclass_in)
% actual processing of the signal (steps 1. - 3.)
% 1 normalize RMS
@@ -118,6 +119,7 @@ classdef EQ_silas < handle
signalclass_in.signal = obj.y_out';
%change sampling frequency of outgoing signal
signalclass_in.fs = reference_signalclass_in.fs;
@@ -125,6 +127,9 @@ classdef EQ_silas < handle
lbdesc = ['EQ von Silas ist gelaufen '];
signalclass_in = signalclass_in.logbookentry(lbdesc);
symbols_out = signalclass_in;
symbols_out.signal = obj.d_out;
% write to output
signalclass_out = signalclass_in;
@@ -213,7 +218,7 @@ classdef EQ_silas < handle
%start the dd mode with coefficients from training
coeff = [obj.e;obj.b];
obj.e_dc = ones(obj.eq_updatelatency,1);%.*obj.e_dc;
obj.e_dc = ones(obj.eq_updatelatency,1).*obj.e_dc;
dc_block = ones(obj.eq_parallelization_blocklength,1);
for ddloop = 1:obj.ddloops
@@ -236,7 +241,8 @@ classdef EQ_silas < handle
d_feedback = zeros(obj.Cb(1),1);
d_vnle = obj.calcVNLENonlinVecs(d_feedback,obj.Ib2,obj.Ib3,obj.Nb,obj.d_norm);
d_hat = zeros(obj.x_length,1);
lvl_err = NaN(obj.x_length,numel(obj.d_constellation));
lvl_err_mov = NaN(100,numel(obj.d_constellation));
m_reg = 0;
if obj.eq_avg_blocklength > 0
@@ -264,19 +270,30 @@ classdef EQ_silas < handle
x_d = [x_vnle;-d_vnle];
%Apply filter
%y(m) = (m_reg(end)*dc_cnt + obj.e_dc(end)) + x_d.'* coeff;
if obj.mu_dc_dd > 0
y(m) = obj.e_dc(end) + x_d.'* coeff;
else
y(m) = x_d.'* coeff;
end
%Decision
%Decision 1
[~,symbol_idx] = min(abs(y(m) - obj.d_constellation)); % decision for closest constellation point
d_hat(k) = obj.d_constellation(symbol_idx);
%Error between FFE & DFE filtered signal and Decision
obj.error(k) = y(m) - d_hat(k);
%
lvl_err(k,symbol_idx) = obj.error(k);
lvl_err_mov(:,symbol_idx) = circshift(lvl_err_mov(:,symbol_idx),1);
lvl_err_mov(1,symbol_idx) = obj.error(k);
%Decision 2
y(m) = y(m)-mean(lvl_err_mov(:,symbol_idx),'omitnan');
[~,symbol_idx] = min(abs(y(m) - obj.d_constellation)); % decision for closest constellation point
d_hat(k) = obj.d_constellation(symbol_idx);
%Update FFE and DFE coefficients
coeff = coeff - (mu_mat * (obj.error(k) * conj(x_d)));
@@ -324,7 +341,34 @@ classdef EQ_silas < handle
end
end
%%
%
% b = movmean(lvl_err,[500 500],1,"omitnan");
%
% figure(11)
% for i = 1:4
% hold on
% stem(lvl_err(:,i))
% end
%%
obj.y_out = (circshift( y.' ,-(obj.delay))).';
obj.d_out = d_hat(1:2:end);
% err = obj.error(1:2:end);
% res = NaN(8,length(err));
% for lvl = 1:8
% a = find(obj.d_out==obj.d_constellation(lvl));
% res(lvl,a) = err(a);
% end
% mean(res,2,"omitnan");
%
% figure(12)
% scatter(1:length(obj.y_out),obj.y_out,1,'.')
% hold on
% scatter(1:length(obj.d_out),obj.d_out,1,'.')
end

1
Datatypes/normalization_mode.m
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@@ -3,6 +3,7 @@ classdef normalization_mode < int32
enumeration
rms (1)
oneone (2)
milliwatt (3)
end
end

10
Datatypes/power_notation.m Normal file
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@@ -0,0 +1,10 @@
classdef power_notation < int32
enumeration
mW (1)
W (2)
dBW (3)
dBm (4)
end
end

8
Datatypes/upsampling_mode.m Normal file
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@@ -0,0 +1,8 @@
classdef upsampling_mode < int32
enumeration
resample (1)
samplehold (2)
end
end

4
Functions/calc_ber.m
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@@ -50,7 +50,9 @@ end
delta_bits = length(reference) - length(data);
skip_end = max(skip_end,delta_bits);
% skip_end = max(skip_end,delta_bits);
skip_end = delta_bits + skip_end;
reference_ = logical(reference(skipstart+1:end-skip_end,:))';
end

40
Functions/plot_eye.m Normal file
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@@ -0,0 +1,40 @@
function plot_eye(signal, fs, fsym)
histpoints = 512; %% verticale resolution
histpoints = floor(histpoints/2)*2+1; %% to have the eye digram centered around one point make the vertical resolution uneven
histpoints_horizontal = 256; %% horizontal resolution
hist_data=zeros(histpoints,histpoints_horizontal ); %% initilize eye diagram
x = real(signal); %% make input signal real
x = resample(x,fsym*histpoints_horizontal/2,fs); %% down sample to original fsym rate
if mod(length(x),2)==1 %% if the signal lenght is not divisible by 2 (symbols displayed in the eye diagram are 2) remove last symbol
x = x(1:end-1);
end
%x = resample(x,histpoints_horizontal/2,1); %% reshape signal to high resolution eye diagram in this case 2 symbols are upsampled to 512 values
eye_mat = reshape(x(1:end-mod(length(x),histpoints_horizontal)),histpoints_horizontal,floor(length(x)/histpoints_horizontal)); %% reshape signal into 256 rows each row has the histogram(eye data of all symbols)
%defult value case
maxA = max(eye_mat(:))*1.1;
minA = min(eye_mat(:))*1.1;
difference= maxA-minA;
data_ind_y=round((eye_mat-minA)/difference*(histpoints-1)) +1;
for n=1:size(data_ind_y,1)
[nn,cc] = hist(data_ind_y(n,:),1:histpoints);
hist_data(:,n)=hist_data(:,n)+nn.';
end
figure;
image(hist_data);
colormap(cbrewer2("Reds",92));
y = string(linspace(minA,maxA,16));
yticks(linspace(0,histpoints,16));
yticklabels(y);
end

7
projects/MPI_April/auswertung_1.m
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@@ -2,14 +2,14 @@
vp = wh.parameter.vp.values(1);
vp = wh.parameter.vp.values(2);
vb = wh.parameter.vb.values(1);
rop = wh.parameter.rop.values;
f=figure(1113);
tiledlayout(2,4)
for sir = [20,36]
tiledlayout(2,3)
for sir = [36,26]
for lw = wh.parameter.laser_linewidth.values
nexttile
cols = linspecer(9);
@@ -23,7 +23,6 @@ for sir = [20,36]
curber(end+1,:) = wh.getStoValue('ber',sir,lw,pn_key,vp,bias,rop);
rop_meas(end+1,:) = wh.getStoValue('rop_save',sir,lw,pn_key,vp,bias,rop);
curstd(end+1,:,:) = wh.getStoValue('level_std',sir,lw,pn_key,vp,bias,rop);
plot(rop_meas(end,:)-txpow_meas, curber(end,:) ,'LineStyle',':','Color',cols(cnt,:),'LineWidth',0.1,'Marker','o','MarkerEdgeColor',[1 1 1],'MarkerFaceColor',cols(cnt,:),'HandleVisibility','off','MarkerSize',1);
hold on
end

42
projects/MPI_April/auswertung_2.m Normal file
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@@ -0,0 +1,42 @@
vp = wh.parameter.vp.values(1);
vb = wh.parameter.vb.values(1);
rop = wh.parameter.rop.values;
f=figure(113);
tiledlayout(2,4)
for sir = [20,36]
for lw = wh.parameter.laser_linewidth.values
nexttile
cols = linspecer(9);
cnt = 1;
for bias = wh.parameter.vb.values(1:2:end-1)
curber = [];
curstd = [];
rop_meas = [];
txpow_meas = wh.getStoValue('mod_out_pow',sir,lw,1,vp,bias,rop(1));
for pn_key = wh.parameter.pn_key.values
rop_meas(end+1,:) = wh.getStoValue('rop_save',sir,lw,pn_key,vp,bias,rop);
curstd(end+1,:,:) = wh.getStoValue('level_std',sir,lw,pn_key,vp,bias,rop);
end
std_ = squeeze(mean(curstd,1))';
symbols = ["square",'o','+','x'];
for l =1:size(std_,1)
plot(mean(rop_meas,1)-txpow_meas, std_(l,:) ,'DisplayName',['Vbias: ',num2str(bias),' V; Pam-lvl: ',num2str(l)],'LineStyle','-','Color',cols(cnt,:),'LineWidth',1,'Marker',symbols(l),'MarkerEdgeColor',[1 1 1],'MarkerFaceColor',cols(cnt,:));
hold on
end
cnt = cnt+1;
end
title(['SIR: ',num2str(sir),'; Lw: ',num2str(lw*1e-6),' MHz; Vpeakpeak: ',num2str(2*vp)])
legend('Location','northeast')
xlabel("measured ROP in dBm")
ylabel("Std")
ylim([0.12,0.27]);
drawnow
end
end

89
projects/MPI_April/auswertung_3.m Normal file
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@@ -0,0 +1,89 @@
files = ["imdd_simulation\projects\MPI_April\wh_pam4_dienstag.mat","imdd_simulation\projects\MPI_April\wh_pam6_dienstag.mat"];
linesstyles = ["-","--"];
vp = wh.parameter.vp.values;
vb = wh.parameter.vb.values;
sir = wh.parameter.sir.values(end); % 20 22 24 26 28 30 32 34 36
rop = wh.parameter.rop.values(end);
lw = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values;
bias = wh.parameter.vb.values(1:end-2);
figure()
tiledlayout(2,3)
cols = linspecer(4);
for d = 1:2
load(files(d));
for lw = wh.parameter.laser_linewidth.values
nexttile
curber = [];
for v = 1:numel(wh.parameter.vp.values)
vp_ = wh.parameter.vp.values(v);
for b = 1:numel(bias)
for k = pn_key
curber(k,b) = wh.getStoValue('ber',sir,lw,k,vp_,bias(b),rop);
end
end
meanber = mean(curber,1);
hold on
delta = meanber-curber;
yneg = abs(max(delta));
ypos = abs(min(delta));
if d == 1
curvename = ['PAM4, Vpp:',num2str((vp_/2*2)*100),' %'];
[hl,hp] = boundedline(2-bias,meanber,([yneg;ypos]'),'-o','alpha','Color',cols(v,:),'transparency', 0.1,'linewidth',0.7);
hl.MarkerFaceColor = cols(v,:);
hl.MarkerSize = 3;
hl.LineStyle = '-';
hl.DisplayName = curvename;
set(hp,'HandleVisibility','off');
ho = outlinebounds(hl,hp);
set(ho, 'linestyle', ':', 'color', cols(v,:),'Linewidth',0.5);
set(ho,'HandleVisibility','off');
% errorbar(2-bias,meanber,yneg,ypos,'LineStyle',linesstyles(d),'Marker','o','Color',cols(v,:),'MarkerSize',4,'MarkerFaceColor',cols(v,:),'MarkerEdgeColor',cols(v,:),'DisplayName',curvename);
elseif d == 2
curvename = ['PAM6, Vpp:',num2str((vp_/2*2)*100),' %'];
[hl,hp] = boundedline(2-bias,meanber,([yneg;ypos]'),'-o','alpha','Color',cols(v,:),'transparency', 0.1,'linewidth',0.7);
hl.MarkerFaceColor = cols(v,:);
hl.MarkerSize = 3;
hl.LineStyle = '--';
hl.DisplayName = curvename;
set(hp,'HandleVisibility','off');
ho = outlinebounds(hl,hp);
set(ho, 'linestyle', ':', 'color', cols(v,:),'Linewidth',0.5);
set(ho,'HandleVisibility','off');
% errorbar(2-bias,meanber,yneg,ypos,'LineStyle',linesstyles(d),'Marker','square','Color',cols(v,:),'MarkerSize',4,'MarkerFaceColor',cols(v,:),'MarkerEdgeColor',cols(v,:),'DisplayName',curvename);
end
%
% plot(2-bias, meanber,'LineStyle',linesstyles(d),'LineWidth',0.5,'DisplayName',curvename,'Color',cols(v,:));
% scatter(2-bias,curber,4,'o','MarkerFaceColor',cols(v,:),'MarkerEdgeColor',cols(v,:),'HandleVisibility','off');
hold on
title(['SIR: ',num2str(sir),'; Lw: ',num2str(lw*1e-6),' MHz'])
set(gca,'YScale','log');
legend('Location','southwest')
xlabel("Bias in V")
ylabel("BER")
xlim([0.4,1]);
ylim([1e-4,3e-1]);
end
yline(3.8e-3,'DisplayName','FEC');
end
end

52
projects/MPI_April/auswertung_4.m Normal file
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@@ -0,0 +1,52 @@
files = ["imdd_simulation\projects\MPI_April\wh_pam4_dienstag.mat","imdd_simulation\projects\MPI_April\wh_pam6_dienstag.mat"];
linesstyles = ["-","--"];
vp = wh.parameter.vp.values;
vb = wh.parameter.vb.values;
sir = wh.parameter.sir.values(4);
rop = wh.parameter.rop.values(end);
lw = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values;
bias = wh.parameter.vb.values(1:end-3);
figure()
tiledlayout(2,3)
cols = flip(cbrewer2("RdYlBu",32));
for d = 1:2
load(files(d));
for lw = wh.parameter.laser_linewidth.values
nexttile
curber = [];
meanber = [];
for v = 1:numel(wh.parameter.vp.values)
vp_ = wh.parameter.vp.values(v);
for b = 1:numel(bias)
for k = pn_key
curber(k,b) = wh.getStoValue('ber',sir,lw,k,vp_,bias(b),rop);
end
end
meanber(v,:) = mean(curber,1);
end
levels = [1e-4, reshape([1e-4; 1e-3; 1e-2]*[2:2:10],1,[])];
contourf(2-bias,wh.parameter.vp.values*100, meanber,levels,'DisplayName',"BER","EdgeAlpha",0.5,'LineStyle','--');
colormap(cols)
set(gca,'ColorScale','log');
xlabel('bias ')
ylabel('vpp in %')
clim([1e-4 3e-1]);
if d == 1
title(['PAM4 - SIR: ',num2str(sir),'; Lw: ',num2str(lw*1e-6),' MHz'])
elseif d == 2
title(['PAM6 - SIR: ',num2str(sir),'; Lw: ',num2str(lw*1e-6),' MHz'])
end
end
end

49
projects/MPI_April/auswertung_5.m Normal file
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@@ -0,0 +1,49 @@
files = ["imdd_simulation\projects\MPI_April\wh_pam4_dienstag.mat","imdd_simulation\projects\MPI_April\wh_pam6_dienstag.mat"];
linesstyles = ["-","--"];
vp = wh.parameter.vp.values;
vb = wh.parameter.vb.values;
sir = wh.parameter.sir.values(end);
rop = wh.parameter.rop.values(end);
lw = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values;
bias = wh.parameter.vb.values(1:end-3);
figure()
tiledlayout(2,3)
cols = flip(cbrewer2("RdYlBu",32));
for d = 1:2
load(files(d));
nexttile
for lw = wh.parameter.laser_linewidth.values
curcspr = [];
meancspr = [];
for v = 1:numel(wh.parameter.vp.values)
vp_ = wh.parameter.vp.values(v);
for b = 1:numel(bias)
for k = pn_key
curcspr(k,b) = wh.getStoValue('cspr',sir,lw,k,vp_,bias(b),rop);
end
end
meancspr(v,:) = mean(curcspr,1);
hold on
plot(2-bias,meancspr(v,:),'DisplayName',['vpp: ',num2str(vp_)]);
end
if d == 1
title(['PAM4 - SIR: ',num2str(sir),'; Lw: ',num2str(lw*1e-6),' MHz'])
elseif d == 2
title(['PAM6 - SIR: ',num2str(sir),'; Lw: ',num2str(lw*1e-6),' MHz'])
end
end
end

102
projects/MPI_April/mpi_simulation_cspr.m
View File

@@ -1,13 +1,15 @@
%% Settings
clear
for M=[4,6,8]
filename = '112G_2';
load_sequence = 0;
M = 6;
datarate = 448e9;
kover = 4;
kover = 8;
fsym = round(datarate*1e-9 / log2(M))*1e9;
fdac = 256e9;
fadc = 256e9;
@@ -24,12 +26,6 @@ LP_opt = Filter('filtdegree',3,"f_cutoff",fsym/log2(M).*1.5,"fs",fdac*kover
LP_phd = Filter('filtdegree',2,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.butterworth);
LP_scpe = Filter('filtdegree',4,"f_cutoff",110e9,"fs",fadc,"filterType",filtertypes.butterworth);
figure(2)
LP_awg.showHere;
% LP_laser.showHere;
% LP_opt.showHere;
% LP_phd.showHere;
% LP_scpe.showHere;
% 1) PRBS Generation
O = 18; %order of prbs
@@ -51,16 +47,7 @@ bits = Informationsignal(bitpattern);
digimod_out = PAMmapper(M,0).map(bits);
digimod_out.fs = fsym;
X = Pulseformer("fsym",fsym,"fdac",fdac,"pulse","rrc","pulselength",16,"rrcalpha",0.1).process(digimod_out);
% 5) AWG (lowpass, quantization, sample and hold)
X = AWG("fdac",fdac,"dac_min",-1,"dac_max",1,"H_lpf",LP_awg,"kover",kover,"bit_resolution",5,"lpf_active",1).process(X);
% 6) Lowpass behavior before laser
X = LP_modulator.process(X);
% 7) Normalize signal
X = X.normalize("mode","oneone");
% linearGain = 1;
% limit = 1;
% SaturatingAmplifier = serdes.SaturatingAmplifier('Mode',1,...
@@ -75,22 +62,35 @@ sir = [20:2:36]; %decibel = attenuation of interference path
vp = [0.25,0.5,0.75,1];
vb = [1:0.1:1.8];
rop = -5:0;
% sir = 35;
% laser_linewidth = 1e6;
% pn_key = 9;
% vp = 0.5;
% vb = [1:0.1:1.8];
rop = -5:5;
sir = 28;
laser_linewidth = 10e6;
pn_key = 9;
vp = 0.5;
vb = 1;%[1:0.1:1.8];
mpi_path=50;
cnt = 1;
for s = 1:length(sir)
for l = 1:length(laser_linewidth)
for pnk = 1:length(pn_key)
for n = 1:length(vp)
parfor m = 1:length(vb)
for m = 1:length(vb)
%digimod_out = digimod_out.normalize("mode","oneone");
% cnt = cnt+1;
X = Pulseformer("fsym",fsym,"fdac",fdac,"pulse","rrc","pulselength",16,"rrcalpha",0.5).process(digimod_out);
% 5) AWG (lowpass, quantization, sample and hold)
X = AWG("fdac",fdac,"dac_min",-1,"dac_max",1,"H_lpf",LP_awg,"kover",kover,"bit_resolution",5,"lpf_active",1).process(X);
% 6) Lowpass behavior before laser
X = LP_modulator.process(X);
% 7) Normalize signal
X = X.normalize("mode","oneone");
% 1) Laser; Modulation -> OPTICAL DOMAIN
u_pi = 2;
@@ -106,7 +106,6 @@ for s = 1:length(sir)
% xlabel('Input in V')
% ylabel('abs(Output) in mW')
% ER = 10*log10(max(abs(Opt.signal).^2)/min(abs(Opt.signal).^2));
Opt = LP_opt.process(Opt);
@@ -132,7 +131,7 @@ for s = 1:length(sir)
% Fiber
Combined_sig = Fiber("fsimu",Combined_sig.fs,"fiber_length",2,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.08).process(Combined_sig);
for i = 1:length(rop)
parfor i = 1:length(rop)
% Set ROP
Rx_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",rop(i)).process(Combined_sig);
@@ -159,18 +158,18 @@ for s = 1:length(sir)
% % % simple EQ (optimum mudc: 0.05 -> 0.005)
% EQ_sig = EQ_silas_plain("Ne",[20,8,8],"Nb",[2,0,0],"trainlength",4096,"mu_dc_dd",0.005,"mu_dc_train",0.05,...
% "mu_ffe_train",0.005,"mu_combined_dd",[0.0004 0.0006 0.0003 0.005],"ddloops",3,'trainloops',3,'sps',2).process(Rx_sig,digimod_out);
%
% EQ_sig = EQ("K",2,"plottrain",0,"plotfinal",0,...
% "training_length",4096,"training_loops",3,...
% "Ne",[50,8,8],"Nb",[2,0,0],...
% "DCmu",0.00,"DDmu",[0.0004 0.0006 0.0003 0.005],"DFEmu",0.005,"FFEmu",0.00,...
% "DCmu",0.005,"DDmu",[0.0004 0.0006 0.0003 0.005],"DFEmu",0.005,"FFEmu",0.00,...
% "dd_loops",3,"epsilon",[10 100 1000 ],"M",2,...
% "thres",[0.005 0.004 0.0005 ],"l1act",0,"delay",0,"rho",0.0005,"ideal_dfe",0,"DB_aim",0).process(Scpe_sig,digimod_out);
EQ_sig = EQ_silas("Ne",[50,8,8],"Nb",[2,0,0],"trainlength",4096,...
[EQ_sig,EQ_sym] = EQ_silas("Ne",[50,8,8],"Nb",[2,0,0],"trainlength",4096,...
"sps",2,...
"mu_dc_dd",0.00,...
"mu_dc_train",0.00,...
"mu_dc_train",0.0,...
"mu_ffe_train",0.00,...
"mu_dfe_train",0.005,...
"mu_ffe_dd",[0.0004 0.0006 0.0003],...
@@ -182,7 +181,8 @@ for s = 1:length(sir)
"eq_avg_blocklength",0).process(Scpe_sig,digimod_out);
% Demap
Rx_Bits = PAMmapper(M,0).demap(EQ_sig);
% Rx_Bits = PAMmapper(M,0).demap(EQ_sig);
Rx_Bits = PAMmapper(M,0).demap(EQ_sym);
%
% Rx_symboldecision = PAMmapper(M,0).decide_pamlevel(EQ_sig,"symbol_levels",unique(digimod_out.signal));
%
@@ -193,7 +193,7 @@ for s = 1:length(sir)
% level_std(s,l,pnk,n,m,i,:) = std(levels,'omitnan');
% BER
[~,errors_bm,BER(s,l,pnk,n,m,i),errors] = calc_ber(Rx_Bits.signal,bitpattern,"skip_front",0,"skip_end",0,"returnErrorLocation",1);
[~,errors_bm,BER(s,l,pnk,n,m,i),errors] = calc_ber(Rx_Bits.signal,bitpattern,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
formatted_ber = sprintf('%.1e', BER(s,l,pnk,n,m,i));
disp(['SIR: ',num2str(sir(s)),'; Lw:',num2str(laser_linewidth(l)),'; Key:',num2str(pn_key(pnk)),'; Vpeak: ',num2str(vp(n)),'; Vbias',num2str(vbias),'; BER: ',formatted_ber,'; run: ',num2str(cnt),' / 12961']);
@@ -204,12 +204,34 @@ for s = 1:length(sir)
end
end
end
save('pam6_level_comp');
save('pam4_level_comp');
disp('saved_run2');
end
end
end
% BER plot
figure(340)
cols = linspecer(7);
for m = 1:size(BER,1)
hold on
plot(rop,BER(m,:),'DisplayName',['Bias: ',num2str(vb(m)), ' V; PAM', num2str(M)],'LineStyle','--','Color',cols(M/2,:),'LineWidth',1,'Marker','square','MarkerEdgeColor',[1 1 1],'MarkerFaceColor',cols(M/2,:));
end
set(gca,'YScale','log');
legend
xlabel("ROP in dBm")
yline(3.8e-3,'DisplayName','FEC');
end
figure(2)
LP_awg.showHere;
LP_modulator.showHere;
LP_opt.showHere;
LP_phd.showHere;
LP_scpe.showHere;
% figure('Name','spectrum')
% tiledlayout(4,1)
% nexttile
@@ -224,19 +246,7 @@ end
% save(['C:\Users\Silas\Nextcloud4\Dokumente\02_Ablage_Office\MPI\Investigation_April_2024\','PAM_',num2str(M),'_mpi_',num2str(mpi_path),'_lw_',num2str(laser_linewidth)],"BER");
%
% % BER plot
% figure(340)
% cols = linspecer(7);
% for m = 1:size(BER,1)
% hold on
% plot(rop,BER(m,:),'DisplayName',['Bias: ',num2str(vb(m)), ' V'],'LineStyle','-','Color',cols(m,:),'LineWidth',1,'Marker','o','MarkerEdgeColor',[1 1 1],'MarkerFaceColor',cols(m,:));
%
% end
% set(gca,'YScale','log');
% legend
% xlabel("ROP in dBm")
% yline(3.8e-3,'DisplayName','FEC');
%
%
% figure(21)

10
projects/MPI_April/plot_analysis_window.m
View File

@@ -16,9 +16,9 @@ ylim([-100,0]);
%Phase Investigation
subplot(3,2,3)
hold on
phase_int = extmodlaser.phase(ceil(n):end);
phase_main = delayseq(extmodlaser.phase,ceil(n));
phase_main = phase_main(ceil(n):end);
phase_int = extmodlaser.phase(ceil(dly):end);
phase_main = delayseq(extmodlaser.phase,ceil(dly));
phase_main = phase_main(ceil(dly):end);
phase_diff = phase_int - phase_main;
t = (1:length(phase_int))' ./ extmodlaser.fsimu ;
plot(t*1e6,phase_int,'Color',colpairs(1,:),'DisplayName','Interferer Phase');
@@ -30,7 +30,7 @@ subplot(3,2,4)
%Received Signal after Phdiode
yyaxis left
t = (1:Rx_sig.length)' ./ Rx_sig.fs;
scatter(t*1e6,Rx_sig.normalize("mode","oneone").signal.*max(unique(digimod_out.signal)),1,'.','MarkerEdgeColor',cols(5,:));
scatter(t*1e6,Rx_sig.normalize("mode","oneone").signal.*max(unique(digimod_out.signal)),1,'.','MarkerEdgeColor',cols(6,:));
hold on
errors_t = errors./Rx_Bits.fs;
errors_sym = Rx_symboldecision.signal(errors);
@@ -54,7 +54,7 @@ for h = 1:size(levels,2)
hold on
end
%yline(PAMmapper(M,0).thresholds);
title(['BER: ',sprintf('%.1e', BER(m,i))]);
title(['BER: ',sprintf('%.1e', BER(s,l,pnk,n,m,i))]);
%Histogram of EQzed Signal
subplot(3,2,6)

18
projects/MPI_April/save_to_warehouse.m
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@@ -6,13 +6,20 @@ vp = [0.25];
vb = [1:0.1:1.8];
rop = -9:3;
sir = [20:2:36]; %decibel = attenuation of interference path
laser_linewidth = [1e5 1e6 10e6];
pn_key = [1:10];
vp = [0.25,0.5,0.75,1];
vb = [1:0.1:1.8];
rop = -5:0;
params = struct;
params.sir = [20:2:36]; %decibel = attenuation of interference path
params.laser_linewidth = [1e5 1e6 3e6 10e6];
params.laser_linewidth = [1e5 1e6 10e6];
params.pn_key = [1:10];
params.vp = [0.25,0.5,0.75,1];
params.vb = [1:0.1:1.8];
params.rop = -9:3;
params.rop = -5:0;
wh = DataStorage(params);
wh.addStorage("ber");
wh.addStorage("level_avg");
@@ -21,18 +28,19 @@ wh.addStorage("rop_save");
wh.addStorage("cspr");
wh.addStorage("mod_out_pow");
cnt = 1;
for s = 1:length(sir)
for l = 1:length(laser_linewidth)
for pnk = 1:length(pn_key)
for n = 1
for n = 1:length(vp)
for m = 1:length(vb)
for i = 1:length(rop)
cnt = cnt +1;
wh.addValueToStorage(BER(s,l,pnk,n,m,i),'ber',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));
wh.addValueToStorage(level_avg(s,l,pnk,n,m,i,:),'level_avg',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));
wh.addValueToStorage(level_std(s,l,pnk,n,m,i,:),'level_std',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));
% wh.addValueToStorage(level_avg(s,l,pnk,n,m,i,:),'level_avg',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));
% wh.addValueToStorage(level_std(s,l,pnk,n,m,i,:),'level_std',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));
wh.addValueToStorage(rop_save(s,l,pnk,n,m,i),'rop_save',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));
wh.addValueToStorage(cspr(s,l,pnk,n,m),'cspr',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));
wh.addValueToStorage(mod_out_pow(s,l,pnk,n,m),'mod_out_pow',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));

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projects/MPI_April/wh_pam4_dienstag.mat Normal file
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projects/MPI_April/wh_pam6_dienstag.mat Normal file
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105
test/modulator_test.m Normal file
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@@ -0,0 +1,105 @@
datarate = 112e9;
M = 6;
laser_linewidth = 0;
kover = 32;
fsym = round(datarate*1e-9 / log2(M))*1e9;
fdac = 256e9;
% 1) PRBS Generation
O = 18; %order of prbs
N = 2^(O-1); %length of prbs
[~,seed] = prbs(O,1); %initialize first seed of prbs
bitpattern=[];
for i = 1:log2(M)
[bitpattern(:,i),seed] = prbs(O,N,seed);
end
if M == 6
bitpattern = reshape(bitpattern,[],1);
bitpattern = bitpattern(1:end-mod(length(bitpattern),5));
end
% 2 ) Build Inf. signal class
bits = Informationsignal(bitpattern);
alphas = flip([0.01,0.05,0.1,0.2,0.3,0.4]);
LP_awg = Filter('filtdegree',5,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.butterworth);
AWG_=AWG("fdac",fdac,"dac_min",-1,"dac_max",1,"H_lpf",LP_awg,"kover",kover,"bit_resolution",16,"lpf_active",1,"normalize2dac",1,"upsampling_method","samplehold");
% 3) Digi modulation -> PAM-M signal
digimod_out = PAMmapper(M,0).map(bits);
digimod_out.fs = fsym;
X = Pulseformer("fsym",fsym,"fdac",fdac,"pulse","rrc","pulselength",16,"rrcalpha",alphas(a)).process(digimod_out);
% plot_eye(X.signal,X.fs,fsym);
% 5) AWG (lowpass, quantization, sample and hold)
X = AWG_.process(X);
f=figure(12);
f.Name = 'spectrum';
spectrum_plot(X.signal,X.fs,'spectrum');
figure(4)
LP_awg.showHere();
disp(['El. power: ',num2str(X.power),' dBm (into 50 Ohm)']);
disp(['El. RMS voltage: ',num2str(sqrt(mean(X.signal.^2))),' V']);
disp(['max voltage: ',num2str(max(X.signal)),' V']);
rms_ = rms(X.signal);
max_ = max(X.signal);
min_ = min(X.signal);
figure(1);
hold on
plot(X.signal,'LineWidth',0.1);
yline([max_, min_],'LineWidth',2,'LineStyle','--');
yline([rms_, -rms_],'LineWidth',2,'LineStyle',':');
ylim([-3 3]);
title(['AWG output: ',num2str(X.power), 'dBm']);
f=figure(12);
f.Name = 'spectrum';
spectrum_plot(X.signal,X.fs,'spectrum');
% 6) Lowpass behavior before laser
LP_modulator= Filter('filtdegree',4,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.butterworth);
X = LP_modulator.process(X);
% 7) Normalize signal to 0dB rms
figure(1);subplot(1,2,1);plot(X.signal,'LineWidth',0.1);ylim([-3 3]);title(['AWG output: ',num2str(X.power), 'dBm into 50 Ohm']);
% 1) Laser; Modulation -> OPTICAL DOMAIN
u_pi = 2;
vbias = -1;
extmodlaser = EML("mode",eml_mode.im_cosinus,"power",0,"fsimu",X.fs,"lambda",1290,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",5);
E = X.normalize("mode","oneone");
figure(1);subplot(1,2,2);plot(E.signal,'LineWidth',0.1);ylim([-3 3]);title(['scaled to modulator; ',num2str(E.power), 'dBm']);
disp(['El. power: ',num2str(E.power),' dBm (into 50 Ohm)']);
[Opt,extmodlaser] = extmodlaser.process(E);
f=figure(12);
f.Name = 'spectrum';
spectrum_plot(X.signal,X.fs,'spectrum');
plot_eye(E.signal,E.fs,fsym);
figure(111)
hold on
scatter(E.signal(1:100000),(abs(Opt.signal(1:100000)).^2)*1e3,0.1,'.','DisplayName','Modulator TF')
xlabel('Input in V')
ylabel('Output in mW')

36
test/test_modulation.m Normal file
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@@ -0,0 +1,36 @@
O = 10; %order of prbs
N = 2^(O-1); %length of prbs
[~,seed] = prbs(O,1); %initialize first seed of prbs
bitpattern=[];
M=6;
for i = 1:log2(M)
[bitpattern(:,i),seed] = prbs(O,N,seed);
end
if M == 6
bitpattern = reshape(bitpattern,[],1);
end
% [bitpattern,seed] = prbs(O,N,seed);
% %
% bitpattern = bitpattern';
% 2 ) Build Inf. signal class
bits = Informationsignal(bitpattern);
% 3) Digi modulation -> PAM-M signal
digimod_out = PAMmapper(M,0).map(bits);
Rx_Bits = PAMmapper(M,0).demap(digimod_out);
[~,errors_bm,BER,errors] = calc_ber(Rx_Bits.signal,bitpattern,"skip_front",0,"skip_end",0,"returnErrorLocation",1);
formatted_ber = sprintf('%.1e', BER);
disp(['BER: ',formatted_ber]);