New MPI mitigation schemes // Duobinary // Start of FTN schemes
This commit is contained in:
Silas Oettinghaus
@@ -237,12 +237,16 @@ classdef Signal
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arguments
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obj Signal
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options.fs_in double
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options.fs_in double = obj.fs
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options.fs_out double
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options.n double = 10;
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options.beta double = 5;
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end
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if options.fs_in ~= obj.fs
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warning('The signals fs is different from the given fs_in while it should be the same.');
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end
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obj.signal = resample(obj.signal,options.fs_out,options.fs_in,options.n,options.beta);
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desc = ['resample signal from ', num2str(options.fs_in*1e-9), ' GHz to ', num2str(options.fs_out*1e-9), ' GHz' ];
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@@ -279,7 +283,7 @@ classdef Signal
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edgetick = 2^(nextpow2(obj.fs*1e-9));
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% xticks([-edgetick:16:edgetick]);
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xlim([-244, 244])
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ylim([-120,-0]);
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ylim([-120,10]);
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yticks([-200:10:10]);
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legend
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@@ -378,14 +382,23 @@ classdef Signal
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end
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%%
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function [obj,delay_n] = delay(obj,options)
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function [obj] = delay(obj,delay,options)
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arguments
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obj Signal
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options.delay_samples = 0
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delay double = 0
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options.mode delay_mode = delay_mode.samples
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end
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obj.signal=delayseq(obj.signal,options.delay_samples);
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if options.mode == delay_mode.samples
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obj.signal=delayseq(obj.signal,delay);
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elseif options.mode == delay_mode.time
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obj.signal=delayseq(obj.signal,delay,obj.fs);
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end
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end
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@@ -415,7 +428,7 @@ classdef Signal
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end
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% delay by lagging samples
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obj = obj.delay("delay_samples",-D);
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obj = obj.delay(-D,'mode','samples');
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cuts = obj.length-(options.reference.length*q);
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@@ -633,31 +646,7 @@ classdef Signal
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hold on
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xline(posxall)
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hist_interest = plot_data(:,posxall);
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hist_interest_smoth = smooth(hist_interest,20);
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a = scatter(hist_interest_smoth+posxall,1:length(hist_interest_smoth),4,'.','MarkerEdgeColor','red');
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[pk,loc] = findpeaks(hist_interest_smoth,"MinPeakDistance",40,"NPeaks",M,"MinPeakHeight",30);
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scatter(posxall,loc,'red','Marker','x','LineWidth',2);
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yline(loc,'Color','red','LineWidth',1,'LineStyle',':');
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for i = 1:numel(loc)
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ppeak(i) = maxA - (difference/histpoints*loc(i));
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end
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oma = false;
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if isa(obj,'Opticalsignal')
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er=10*log10(ppeak(1)/ppeak(end));
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elseif isa(obj,'Electricalsignal')
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if mean([ppeak(1),ppeak(end)]) < 1e-2
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oma = true;
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er=max(ppeak)-min(ppeak);
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else
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er=10*log10(ppeak(1)/ppeak(end));
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end
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else
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er=10*log10(ppeak(1)/ppeak(end));
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end
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% Define properties
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boxPosition = [0.15 0.86 0.2 0.05]; % Position for the first box [x y width height]
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@@ -687,24 +676,53 @@ classdef Signal
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'FontWeight', boxFontWeight, ...
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'HorizontalAlignment', 'center');
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% Adjust position for the third box (slightly to the right)
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boxPosition = [0.59 0.86 0.2 0.05]; % Adjusted position
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try
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hist_interest = plot_data(:,posxall);
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hist_interest_smoth = smooth(hist_interest,20);
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a = scatter(hist_interest_smoth+posxall,1:length(hist_interest_smoth),4,'.','MarkerEdgeColor','red');
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% Create third annotation box for Vmax
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if ~oma
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thirdboxstring = ['ER (db):',num2str(er),' dB'];
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else
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thirdboxstring = ['OMA outer:',num2str(er),' V'];
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end
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[pk,loc] = findpeaks(hist_interest_smoth,"MinPeakDistance",40,"NPeaks",M,"MinPeakHeight",30);
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scatter(posxall,loc,'red','Marker','x','LineWidth',2);
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yline(loc,'Color','red','LineWidth',1,'LineStyle',':');
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annotation('textbox', boxPosition, ...
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'String',thirdboxstring , ...
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'BackgroundColor', boxColor, ...
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'EdgeColor', boxEdgeColor, ...
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'LineStyle', boxLineStyle, ...
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'FontWeight', boxFontWeight, ...
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'HorizontalAlignment', 'center');
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for i = 1:numel(loc)
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ppeak(i) = maxA - (difference/histpoints*loc(i));
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end
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oma = false;
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if isa(obj,'Opticalsignal')
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er=10*log10(ppeak(1)/ppeak(end));
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elseif isa(obj,'Electricalsignal')
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if mean([ppeak(1),ppeak(end)]) < 1e-2
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oma = true;
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er=max(ppeak)-min(ppeak);
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else
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er=10*log10(ppeak(1)/ppeak(end));
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end
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else
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er=10*log10(ppeak(1)/ppeak(end));
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end
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% Adjust position for the third box (slightly to the right)
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boxPosition = [0.59 0.86 0.2 0.05]; % Adjusted position
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% Create third annotation box for Vmax
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if ~oma
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thirdboxstring = ['ER (db):',num2str(er),' dB'];
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else
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thirdboxstring = ['OMA outer:',num2str(er),' V'];
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end
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annotation('textbox', boxPosition, ...
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'String',thirdboxstring , ...
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'BackgroundColor', boxColor, ...
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'EdgeColor', boxEdgeColor, ...
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'LineStyle', boxLineStyle, ...
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'FontWeight', boxFontWeight, ...
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'HorizontalAlignment', 'center');
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end
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yticks(linspace(0,histpoints,16));
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y_tickstring = sprintfc('%.2f', y_tickstring);
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406
Classes/01_transmit/ChannelFreqResp.m
Normal file
406
Classes/01_transmit/ChannelFreqResp.m
Normal file
@@ -0,0 +1,406 @@
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classdef ChannelFreqResp < handle
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% Linear pre-compensation of Channel effects. This module has two modes:
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% A) In acquire mode it sends a real OFDM singal with all subcarriers assigned in
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% order to acquire later the system's frequency response after the
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% signal passed the system...
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% ChannelFreqResp.SendOFDM
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% B) In the "not acquire" mode it loads the frequency response generated by the freq_res module,
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% calculates the inverse frequency response with the right length matched
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% with the signal length and distorts the signal before tranmission
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% give channel indices for measure mode
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%TYPICAL FLOW:
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% referencesignal = ChannelFreqResp.buildOFDM()
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% referencesignal -> SYSTEM -> measuredsignal
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% ChannelFreqResp.estimate(measuredsignal)
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properties(Access=public)
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Nacq
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Navg
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Ncp
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f_ref %fs of transmitted dmt sig
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f_observe %fs of the observed signal
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symlen
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seqlen
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refsig
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H
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H_all
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H_apply
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Nfft
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df
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faxis
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end
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methods (Access=public)
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function obj = ChannelFreqResp(options)
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%NAME Construct an instance of this class
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% Detailed explanation goes here
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arguments
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options.Nacq = 4096;
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options.Navg = 30;
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options.Ncp = 100;
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options.f_ref;
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options.f_observe;
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end
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%
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fn = fieldnames(options);
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for n = 1:numel(fn)
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try
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obj.(fn{n}) = options.(fn{n});
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end
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end
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obj.Nfft = 2*obj.Nacq + 1 ;
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obj.df = obj.f_ref/obj.Nfft ; % calculate frequency grid
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obj.faxis = (0:obj.Nfft-1)*obj.df ;
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end
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function output = buildOFDM(obj)
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% generate OFDM or DMT signal that is send over the channel
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obj.symlen = (obj.Nacq*2+obj.Ncp+1);
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obj.seqlen = obj.symlen*obj.Navg;
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obj.refsig = obj.genRNDDMT(15)';
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obj.refsig = Informationsignal(obj.refsig,"fs",obj.f_ref);
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output = obj.refsig;
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end
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function output = estimate(obj, data_in, options)
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arguments
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obj
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data_in
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options.save logical = false
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options.savePath = "";
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options.fileName = "";
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end
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% use the transmitted DMT and the received DMT to get the transfer function
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obj.Nfft = 2*obj.Nacq + 1 ;
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%resample from fadc to fdac (fdac => fs of reference signal)
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data_in = data_in.resample("fs_out",obj.f_ref);
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%est from dmt
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obj.H_all = obj.estHfromDMT(data_in.signal,obj.refsig.signal);
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obj.H = mean(obj.H_all,1);
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output = obj.H;
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if options.save
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obj.save('fileName',options.fileName,'savePath',options.savePath);
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end
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end
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function Target = precomp(obj,Target,options)
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% apply the freq response
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arguments
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obj
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Target
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options.fileName = ''
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options.loadPath = ''
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options.maxampdb
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end
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if isempty(obj.H)
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obj.load("fileName",options.fileName,"loadPath",options.loadPath);
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end
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H_inv = 1./obj.H;
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nH = find(~isnan(H_inv),1,'last'); %last value that is not nan
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H_inv(nH:end)=H_inv(nH); %replace everything after first NaN with the last non-NaN value
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fstarget = Target.fs;
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% Build new frequencie axis (with current fs)
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fnew = linspace(0,fstarget/2,length(Target)/2+1);
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fnew = fnew(2:end-1);
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% Old frequency axis (should be much coarser)
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idx_old = find((obj.faxis > 0) .* (obj.faxis < fstarget/2)); %positions of all Frequencies smaller than fs/2
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int_fold = obj.faxis(idx_old); %old frequencies from 0 to fs/2
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idx_new = find(fnew <= int_fold(end)); %positions of all Frequencies smaller than fs/2
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int_fnew = fnew(idx_new);%new frequencies from 0 to fs/2
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% interpolate the frequency response that had a coarse frequency resolution (e.g. 256 bins) to the current frequency resolution (e.g. 21843 bins)
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iH = interp1(int_fold, real(H_inv(idx_old)) ,fnew, 'linear') + 1i*interp1(int_fold, imag(H_inv(idx_old)) ,fnew, 'linear');
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% set all NaN values to the fist/ last non-NaN value
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nH = find(~isnan(iH),1,'first');
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iH(1:nH)=iH(nH);
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nH = find(~isnan(iH),1,'last');
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iH(nH:end) =iH(nH);
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%smoothing takes time and sometimes the result looks odd,
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%however the performance is most of the time better
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smoothing = 1;
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if smoothing
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iH = smooth(fnew,iH,0.1,'loess')';
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end
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% multiply the complex frequency responce with the phase
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% angle (-pi,pi) at lowest frequency
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iH = iH.*exp(-1j*angle(iH(1))); % to be checked (<- not from silas, so what needs to be checked?)
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% Phase difference between lowest and hiughest frequency
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% component -> but what is this for? dPhase is not used...
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noncausal = 0;
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if noncausal
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dPhase = angle(iH(end))-angle(iH(1));
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end
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% normalize complex freq. resp. by magnitude at the first
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% five frequencies -> should be the vaue at f=0=DC component?
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iH = iH./mean(abs(iH(1:100))); %why 1:5??
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% set maximum amplification
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% set als values higher than hmax to hmax and keep the
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% phase information by multiplication with respective
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% corresponding phase angles
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maxamp_lin = 10^(options.maxampdb/20);
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iH(abs(iH)>maxamp_lin) = maxamp_lin.*exp(1j*angle(iH(abs(iH)>maxamp_lin)));
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% it could be helpful to clip at linear 1 (=to keep comp from attenuating the signal)
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% iH(abs(iH)<1) = 1.*exp(1j*angle(iH(abs(iH)<1)));
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if 0
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figure(7);hold on;plot(fnew,20*log10(abs(iH)))
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end
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H_inv = [iH(1) iH fliplr(conj(iH)) conj(iH(1))];
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obj.H_apply = H_inv;
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Target.signal = real((ifft( ( fft(real( Target.signal )) .* H_inv' ) )));
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end
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function plot(obj)
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figure(55551);
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clf;
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Havg = obj.H;
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%1)
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subplot(4,1,1);hold all;box on;title('Magnitude Freq. Response');
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plot(obj.faxis/1e9, 20*log10(abs(obj.H_all)),'linewidth',0.1,'LineStyle','-','Color','#808080') ;
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xlim([0.2 .5*max(obj.faxis)*1e-9]);
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plot(obj.faxis/1e9, 20*log10(abs(Havg)),'LineWidth',2);
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grid on;
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%2)
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subplot(4,1,2); hold all; box on; title('Phase Freq. Response');
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plot(obj.faxis/1e9, (angle(obj.H_all)),'linewidth',0.1,'LineStyle','-','Color','#808080') ;
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plot(obj.faxis/1e9, (angle(Havg)),'LineWidth',2) ;
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xlim([0.2 .5*max(obj.faxis)*1e-9]);
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grid on;
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%normalize / remove attenuation
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Havg = Havg./mean(Havg(2:10));
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%3)
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subplot(4,1,3); hold all; box on; title('Inverse Magnitude Freq. Response');
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plot(obj.faxis/1e9, 20*log10(abs(1./Havg)),"LineWidth",2,"Color",[0.3467 0.5360 0.6907]) ;
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xlim([0.2 .5*max(obj.faxis)*1e-9]); grid on;
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ylim([-1 15]);
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hold on;
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yline(3,'LineWidth',2,'LineStyle','--');
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%4)
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subplot(4,1,4); hold all; box on; title('Inverse Phase Freq. Response');
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plot(obj.faxis/1e9, (angle(1./Havg)),"LineWidth",2,"Color",[0.3467 0.5360 0.6907]) ;
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xlim([0.2 .5*max(obj.faxis)*1e-9]); grid on;
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end
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function save(obj,options)
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arguments
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obj
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options.fileName = ''
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options.savePath = ''
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end
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% Check if the fileName was provided
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if isempty(char(options.fileName))
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% If no file name is provided, prompt the user to enter a file name
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[options.fileName, filePath] = uiputfile('*.mat', 'Save As');
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% If the user cancels the dialog, fileName and filePath will be 0
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if isequal(options.fileName, 0) || isequal(filePath, 0)
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disp('Save operation cancelled.');
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return;
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end
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% Update the savePath with the directory chosen by the user
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options.savePath = filePath;
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end
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% Check if the savePath was provided
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if isempty(char(options.savePath))
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% If no path is provided, open a UI window to select the path
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options.savePath = uigetdir('', 'Select a folder to save the file');
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% If the user cancels the dialog, savePath will be 0
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if options.savePath == 0
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disp('Save operation cancelled.');
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return;
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end
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else
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% If a path is provided, validate it
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if ~isfolder(options.savePath)
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error('The specified path does not exist.');
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end
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end
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% Construct the full file path
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fullFileName = fullfile(options.savePath, options.fileName);
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% Save the data to the specified file
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save(fullFileName, 'obj');
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fprintf('Frequency response information successfully saved to %s\n', fullFileName);
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end
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function data = load(obj, options)
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% Function to load data from a specified file and path.
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arguments
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obj
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options.fileName = ''
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options.loadPath = ''
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end
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% Check if the fileName was provided
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if isempty(char(options.fileName))
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% If no file name is provided, open a UI window to select the file
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[options.fileName, options.loadPath] = uigetfile('*.mat', 'Select a file to load');
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% If the user cancels the dialog, fileName and loadPath will be 0
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if isequal(options.fileName, 0) || isequal(options.loadPath, 0)
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disp('Load operation cancelled.');
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data = [];
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return;
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end
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end
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% If loadPath is not provided or empty, use the current folder
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if isempty(char(options.loadPath))
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options.loadPath = pwd;
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else
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% Validate the path if provided
|
||||
if ~isfolder(options.loadPath)
|
||||
error('The specified path does not exist.');
|
||||
end
|
||||
end
|
||||
|
||||
% Construct the full file path
|
||||
fullFileName = fullfile(options.loadPath, options.fileName);
|
||||
|
||||
% Check if the file exists
|
||||
if ~isfile(fullFileName)
|
||||
fullFileName = fullfile(options.loadPath, [char(options.fileName),'.mat']);
|
||||
if ~isfile(fullFileName)
|
||||
error('The specified file does not exist.');
|
||||
end
|
||||
end
|
||||
|
||||
% Load the data from the specified file
|
||||
loadedData = load(fullFileName);
|
||||
|
||||
% Replace whole obj here.. is this save or unsave?!
|
||||
fn = fieldnames(loadedData.obj);
|
||||
for n = 1:numel(fn)
|
||||
try
|
||||
obj.(fn{n}) = loadedData.obj.(fn{n});
|
||||
end
|
||||
end
|
||||
|
||||
fprintf('Frequency response information successfully loaded from %s\n', fullFileName);
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
methods (Access=private)
|
||||
% Cant be seen from outside! So put all your functions here that can/
|
||||
% shall not be called from outside
|
||||
|
||||
function rOFDM = genRNDDMT(obj,randkey)
|
||||
|
||||
rOFDM = NaN(1,(2*obj.Nacq+obj.Ncp+1)*obj.Navg);
|
||||
|
||||
s = RandStream('mt19937ar','Seed',randkey,'NormalTransform','Polar');
|
||||
|
||||
ref = 2 * round(rand(s,obj.Nacq, obj.Navg)) - 1 ; % Navg Random BPSK sequences
|
||||
|
||||
ofdm = [ones(1, obj.Navg) ; ref ; conj(ref(end:-1:1,:)) ] ; % DMT
|
||||
|
||||
ofdm = ifft(ofdm) ; % Navg real OFDM sequences
|
||||
|
||||
ofdm = [ofdm(end-obj.Ncp+1 : end, :) ; ofdm] ; % Add cyclic prefix
|
||||
|
||||
rOFDM = reshape(ofdm, 1, size(ofdm,1)*size(ofdm,2)) ;
|
||||
|
||||
rOFDM = rOFDM./max(abs(rOFDM(:)));
|
||||
|
||||
end
|
||||
|
||||
function [rH] = estHfromDMT(obj, data_in, ref_in)
|
||||
|
||||
%! Dont (circ)shift the signal here as this would remove the phase information!
|
||||
%tested with a butterworth filter this exactly reconstructs the
|
||||
%phase and the magnitude. However, the option is here
|
||||
estimatephase = 1;
|
||||
|
||||
if ~estimatephase
|
||||
% 0. cross-correlate the received signal with its reference to extract the periods
|
||||
corr = abs(ifft( fft(data_in(1:length(ref_in))).* conj(fft(ref_in)) )) ;
|
||||
|
||||
% find max
|
||||
[~, peak] = max(corr) ;
|
||||
peak=max(1,peak-1);
|
||||
|
||||
data_in = circshift(data_in,-peak) ;
|
||||
%Y = data_in(peak:peak+(Nfft+obj.Ncp)*obj.Navg-1) ;
|
||||
end
|
||||
|
||||
% 1. Reshape signal to a matrix to support noise averaging
|
||||
Nfft = 2*obj.Nacq + 1 ;
|
||||
|
||||
Y = reshape(data_in, Nfft+obj.Ncp, obj.Navg).' ;
|
||||
|
||||
X = reshape(ref_in, Nfft + obj.Ncp, obj.Navg).' ;
|
||||
|
||||
% 2. Remove cyclic prefix and apply FFT transformation
|
||||
Y = fft(Y(:, obj.Ncp+1 : obj.Ncp + Nfft), [], 2) ;
|
||||
X = fft(X(:, obj.Ncp+1 : obj.Ncp + Nfft), [], 2) ;
|
||||
|
||||
% 4. Caclulate the frequency response using H = Y/X
|
||||
rH = Y./X ;
|
||||
|
||||
end
|
||||
|
||||
end
|
||||
end
|
||||
@@ -24,7 +24,9 @@ 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.normalize("mode","rms");
|
||||
|
||||
signal_in = signal_in.logbookentry();
|
||||
out = signal_in;
|
||||
else
|
||||
@@ -42,7 +44,7 @@ classdef PAMmapper
|
||||
function pam_sig = map_(obj,bitpattern)
|
||||
|
||||
switch obj.M
|
||||
case 1
|
||||
case 2
|
||||
% 2-ASK: BPSK / OOK
|
||||
pam_sig=bitpattern(:,1);
|
||||
|
||||
@@ -87,6 +89,7 @@ classdef PAMmapper
|
||||
end
|
||||
|
||||
pam_sig = pam_sig/sqrt(21);
|
||||
|
||||
case 16
|
||||
% 16-ASK:
|
||||
x1 = bitpattern(:,1);
|
||||
|
||||
@@ -9,6 +9,8 @@ classdef PAMsource
|
||||
fsym
|
||||
randkey
|
||||
|
||||
db_precode
|
||||
|
||||
mrds_code
|
||||
mrds_blocklength
|
||||
|
||||
@@ -33,6 +35,8 @@ classdef PAMsource
|
||||
options.fsym = 112e9;
|
||||
options.randkey = 0;
|
||||
|
||||
options.db_precode = 0;
|
||||
|
||||
options.mrds_code = 0;
|
||||
options.mrds_blocklength = 512;
|
||||
|
||||
@@ -91,6 +95,11 @@ classdef PAMsource
|
||||
symbols = PAMmapper(obj.M,0).map(bits);
|
||||
symbols.fs = obj.fsym;
|
||||
|
||||
if obj.db_precode
|
||||
symbols = Duobinary().precode(symbols);
|
||||
symbols = Duobinary().encode(symbols);
|
||||
end
|
||||
|
||||
if obj.mrds_code
|
||||
symbols = MRDS_coding("blocklength",obj.mrds_blocklength).encode(symbols);
|
||||
end
|
||||
|
||||
@@ -1,23 +0,0 @@
|
||||
classdef A1_scheme
|
||||
%A1_SCHEME Summary of this class goes here
|
||||
% Detailed explanation goes here
|
||||
|
||||
properties
|
||||
Property1
|
||||
end
|
||||
|
||||
methods
|
||||
function obj = A1_scheme(inputArg1,inputArg2)
|
||||
%A1_SCHEME Construct an instance of this class
|
||||
% Detailed explanation goes here
|
||||
obj.Property1 = inputArg1 + inputArg2;
|
||||
end
|
||||
|
||||
function outputArg = method1(obj,inputArg)
|
||||
%METHOD1 Summary of this method goes here
|
||||
% Detailed explanation goes here
|
||||
outputArg = obj.Property1 + inputArg;
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
245
Classes/04_DSP/Coding/Duobinary.m
Normal file
245
Classes/04_DSP/Coding/Duobinary.m
Normal file
@@ -0,0 +1,245 @@
|
||||
classdef Duobinary
|
||||
%Duobinary Coding
|
||||
% should work
|
||||
|
||||
properties(Access=public)
|
||||
|
||||
|
||||
end
|
||||
|
||||
methods (Access=public)
|
||||
|
||||
function obj = Duobinary()
|
||||
%NAME Construct an instance of this class
|
||||
% Detailed explanation goes here
|
||||
|
||||
arguments
|
||||
|
||||
end
|
||||
|
||||
% %
|
||||
% fn = fieldnames(options);
|
||||
% for n = 1:numel(fn)
|
||||
% try
|
||||
% obj.(fn{n}) = options.(fn{n});
|
||||
% end
|
||||
% end
|
||||
|
||||
% do more stuff
|
||||
|
||||
end
|
||||
|
||||
function signalclass = precode(~,signalclass)
|
||||
|
||||
data = signalclass.signal;
|
||||
u = unique(data);
|
||||
M = numel(u);
|
||||
|
||||
%make unipolar
|
||||
if M == 4
|
||||
data = data .* sqrt(5);
|
||||
elseif M == 6
|
||||
data = data .* sqrt(10);
|
||||
elseif M == 8
|
||||
data = data .* sqrt(21);
|
||||
elseif M == 16
|
||||
data = data .* sqrt(85);
|
||||
warning('Check if PAM16 implementation, mapping and scaling is correct!')
|
||||
end
|
||||
|
||||
data = round(data);
|
||||
b = min(data);
|
||||
data = data - b;
|
||||
data = data ./ 2;
|
||||
|
||||
assert(isequal((0:M-1)',unique(data)),'Check Duobinary Precoding'); %seems the signal is not unipolar
|
||||
|
||||
% Pre coding
|
||||
bk = zeros(numel(data),1);
|
||||
|
||||
for k = 1:numel(data)-1
|
||||
bk(k+1) =mod(data(k)-bk(k),M);
|
||||
end
|
||||
|
||||
%make bipolar
|
||||
bk = bk .* 2;
|
||||
bk = bk + b;
|
||||
|
||||
if M == 4
|
||||
bk = bk ./ sqrt(5);
|
||||
elseif M == 6
|
||||
bk = bk ./ sqrt(10);
|
||||
elseif M == 8
|
||||
bk = bk ./ sqrt(21);
|
||||
end
|
||||
signalclass.signal = bk;
|
||||
|
||||
assert(isequal(unique(signalclass.signal),u),'Check Duobinary Precoding'); %seems the signal is not the same as before
|
||||
|
||||
end
|
||||
|
||||
function signalclass = encode(~,signalclass)
|
||||
|
||||
data = signalclass.signal;
|
||||
u = unique(data);
|
||||
M = numel(u);
|
||||
|
||||
%make unipolar
|
||||
if M == 4
|
||||
data = data .* sqrt(5);
|
||||
elseif M == 6
|
||||
data = data .* sqrt(10);
|
||||
elseif M == 8
|
||||
data = data .* sqrt(21);
|
||||
elseif M == 16
|
||||
data = data .* sqrt(85);
|
||||
warning('Check if PAM16 implementation, mapping and scaling is correct!')
|
||||
end
|
||||
|
||||
data = round(data);
|
||||
b = min(data);
|
||||
data = data - b;
|
||||
data = data ./ 2;
|
||||
|
||||
assert(isequal((0:M-1)',unique(data)),'Check Duobinary Precoding'); %seems the signal is not unipolar
|
||||
|
||||
% duobinary coding (1+D)
|
||||
coeff = [1,1];
|
||||
|
||||
data = conv(data,coeff,"same");
|
||||
|
||||
%make bipolar
|
||||
data = (data-round(mean(data),1));
|
||||
|
||||
if M == 4
|
||||
data = data ./ sqrt(2.5); % 7-level constellation weighted with probability after DB code i.e. mean([-3 3 -2 -2 2 2 -1 -1 -1 1 1 1 0 0 0 0].^2) = 2.5 --> sqrt(2.5) == rms(constellation)
|
||||
elseif M == 6
|
||||
data = data ./ sqrt(5.8);
|
||||
elseif M == 8
|
||||
data = data ./ sqrt(10.5); % 15-level constellation weighted with probability after DB code i.e.
|
||||
end
|
||||
|
||||
signalclass.signal = data;
|
||||
|
||||
% Code to evaluate the s in sqrt(s):
|
||||
% M=6;
|
||||
% c = (0:(2*M)-2) - ((2*M)-2)/2;
|
||||
% s = 0;
|
||||
% for i = 0:(2*M)-2
|
||||
% p(i+1) = M-abs(i-(M-1));
|
||||
% s = s+p(i+1)*c(i+1).^2;
|
||||
% end
|
||||
% s = s/M^2;
|
||||
|
||||
end
|
||||
|
||||
function signalclass = decode(~,signalclass)
|
||||
|
||||
data = signalclass.signal;
|
||||
u = unique(data);
|
||||
I = numel(u); %number of duobinary coded const. points
|
||||
M = (I+1)/2; %PAM-M order
|
||||
|
||||
%make unipolar
|
||||
if I == 7
|
||||
data = data .* sqrt(2.5);
|
||||
elseif I == 11
|
||||
%todo
|
||||
data = data .* sqrt(5.8);
|
||||
warning('Check if PAM16 implementation, mapping and scaling is correct!')
|
||||
elseif I == 15
|
||||
data = data .* sqrt(10.5);
|
||||
elseif I == 16
|
||||
warning('Check if PAM16 implementation, mapping and scaling is correct!')
|
||||
end
|
||||
|
||||
data = round(data);
|
||||
b = min(data);
|
||||
data = data - b;
|
||||
|
||||
data = round(data);
|
||||
|
||||
data = mod(data,M);
|
||||
|
||||
%make bipolar
|
||||
data = data .* 2;
|
||||
data = data - round(mean(data));
|
||||
|
||||
if M == 4
|
||||
data = data ./ sqrt(5);
|
||||
elseif M == 6
|
||||
data = data ./ sqrt(10);
|
||||
elseif M == 8
|
||||
data = data ./ sqrt(21);
|
||||
end
|
||||
signalclass.signal = data;
|
||||
|
||||
end
|
||||
|
||||
function signalclass = feedbackdetector(~,signalclass)
|
||||
data = signalclass.signal;
|
||||
u = unique(data);
|
||||
I = numel(u); %number of duobinary coded const. points
|
||||
M = (I+1)/2; %PAM-M order
|
||||
|
||||
%make unipolar
|
||||
if I == 7
|
||||
data = data .* sqrt(2.5);
|
||||
elseif I == 11
|
||||
%todo
|
||||
data = data .* sqrt(5.8);
|
||||
warning('Check if PAM16 implementation, mapping and scaling is correct!')
|
||||
elseif I == 15
|
||||
data = data .* sqrt(10.5);
|
||||
elseif I == 16
|
||||
warning('Check if PAM16 implementation, mapping and scaling is correct!')
|
||||
end
|
||||
|
||||
data = round(data);
|
||||
b = min(data);
|
||||
data = data - b;
|
||||
|
||||
data = round(data);
|
||||
|
||||
data_out = zeros(length(data),1);
|
||||
const = 0:M-1;
|
||||
%%FALSCH!
|
||||
for k = 1:length(data)-1
|
||||
|
||||
d_ = data(k+1) - data_out(k);
|
||||
|
||||
[~,b] = min(abs(d_-[0:M-1]));
|
||||
|
||||
data_out(k+1) = const(b);
|
||||
|
||||
end
|
||||
|
||||
%make bipolar
|
||||
data_out = data_out .* 2;
|
||||
data_out = data_out - round(mean(data_out));
|
||||
|
||||
if M == 4
|
||||
data_out = data_out ./ sqrt(5);
|
||||
elseif M == 6
|
||||
data_out = data_out ./ sqrt(10);
|
||||
elseif M == 8
|
||||
data_out = data_out ./ sqrt(21);
|
||||
end
|
||||
|
||||
signalclass.signal = data_out;
|
||||
|
||||
|
||||
|
||||
|
||||
end
|
||||
|
||||
|
||||
end
|
||||
|
||||
methods (Access=private)
|
||||
% Cant be seen from outside! So put all your functions here that can/
|
||||
% shall not be called from outside
|
||||
|
||||
|
||||
end
|
||||
end
|
||||
8
Datatypes/delay_mode.m
Normal file
8
Datatypes/delay_mode.m
Normal file
@@ -0,0 +1,8 @@
|
||||
classdef delay_mode < int32
|
||||
|
||||
enumeration
|
||||
samples (1)
|
||||
time (2)
|
||||
end
|
||||
|
||||
end
|
||||
@@ -10,6 +10,8 @@ end
|
||||
options.skip_end = abs(options.skip_end);
|
||||
options.skip_front = abs(options.skip_front);
|
||||
|
||||
assert((options.skip_end+options.skip_front)<length(data_in),"You can not skip more bits than overall length of data! Set skip_front or skip_end to lower value or check data_in");
|
||||
|
||||
bits = 0;
|
||||
errors= 0;
|
||||
ber= 0;
|
||||
@@ -29,7 +31,7 @@ if length(data_ref) == length(data_in)
|
||||
else
|
||||
errorIndice = sum(data_in ~= data_ref,1);
|
||||
errors = sum(errorIndice ,"all" );
|
||||
[~,errorIndice] = find(errorIndice==1);
|
||||
[~,errorIndice] = find(errorIndice~=0);
|
||||
end
|
||||
|
||||
catch
|
||||
|
||||
BIN
projects/standard_system.mat
Normal file
BIN
projects/standard_system.mat
Normal file
Binary file not shown.
BIN
projects/standard_system/400G_simulative_setup.mat
Normal file
BIN
projects/standard_system/400G_simulative_setup.mat
Normal file
Binary file not shown.
BIN
projects/standard_system/bla.mat
Normal file
BIN
projects/standard_system/bla.mat
Normal file
Binary file not shown.
28
projects/standard_system/freqresp_test.m
Normal file
28
projects/standard_system/freqresp_test.m
Normal file
@@ -0,0 +1,28 @@
|
||||
measure = 0;
|
||||
|
||||
|
||||
if measure
|
||||
freqresp = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",70,"f_ref",256e9);
|
||||
%
|
||||
Digi_sig = freqresp.buildOFDM();
|
||||
else
|
||||
[Digi_sig,Symbols,Bits] = PAMsource("fsym",fsym,"M",M,"order",18,"useprbs",0,...
|
||||
"fs_out",M8199.fdac,"applyclipping",1,"clipfactor",1.7,"applypulseform",1,"pulseformer",Pform,"randkey",pn_key,"mrds_code",usemrds,"mrds_blocklength",512).process();
|
||||
end
|
||||
|
||||
Digi_sig.spectrum("fignum",1112,"displayname",['Signal']);
|
||||
|
||||
maxamp = -1;
|
||||
El_sig = freqresp.precomp(Digi_sig,"maxampdb",maxamp);
|
||||
|
||||
El_sig.spectrum("fignum",1112,"displayname",['maxamp:',num2str(maxamp)]);
|
||||
|
||||
El_sig = Filter('filtdegree',2,"f_cutoff",60e9,"fs",256e9,"filterType",filtertypes.butterworth,"active",true).process(El_sig);
|
||||
|
||||
if measure
|
||||
freqresp.estimate(El_sig,"fileName",'','save',false);
|
||||
end
|
||||
|
||||
|
||||
|
||||
El_sig.spectrum("fignum",1112,"displayname",['after filter; maxamp:',num2str(maxamp)]);
|
||||
197
projects/standard_system/imdd_minimal_2.m
Normal file
197
projects/standard_system/imdd_minimal_2.m
Normal file
@@ -0,0 +1,197 @@
|
||||
|
||||
%% Parameter to simulate and save
|
||||
params = struct;
|
||||
|
||||
params.M = [4];
|
||||
params.datarate = [440];
|
||||
params.rop = [0];
|
||||
|
||||
precomp_mode = 2; %0=do nothing ; 1= measure; 2=precomp active
|
||||
precomp_path = "C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\standard_system\";
|
||||
precomp_fn = "400G_simulative_setup";
|
||||
usemrds = 0;
|
||||
|
||||
name = ['wh_',strrep(num2str(now),'.','')];
|
||||
|
||||
wh = DataStorage(params);
|
||||
|
||||
wh.addStorage("ber_ffe");
|
||||
|
||||
%% Init Params
|
||||
link_length = 0; %meter
|
||||
pn_key = 2;
|
||||
laser_linewidth = 0;
|
||||
|
||||
endcnt = prod(wh.dim);
|
||||
cnt=0;
|
||||
|
||||
disp(['Start Simulation of ',num2str(endcnt),' loops...'])
|
||||
tic
|
||||
|
||||
|
||||
for M = wh.parameter.M.values
|
||||
for datarate = wh.parameter.datarate.values
|
||||
|
||||
% SETUP HERE: %%
|
||||
kover = 16;
|
||||
M8199 = M8199B("kover",kover);
|
||||
fdac = M8199.fdac;
|
||||
fsym = round(datarate / log2(M)) * 1e9;
|
||||
rrcalpha = 0.05;
|
||||
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rrcalpha);
|
||||
|
||||
% MAIN SIGNAL
|
||||
|
||||
%%%%% Symbol Generation %%%%%%
|
||||
[Digi_sig,Symbols,Bits] = PAMsource("fsym",fsym,"M",M,"order",18,"useprbs",0,...
|
||||
"fs_out",M8199.fdac,"applyclipping",1,"clipfactor",1.7,...
|
||||
"applypulseform",0,"pulseformer",Pform,"randkey",pn_key,...
|
||||
"db_precode",1,...
|
||||
"mrds_code",usemrds,"mrds_blocklength",512).process();
|
||||
|
||||
Digi_sig.eye(fsym,M);
|
||||
Digi_sig.spectrum("fignum",11,"displayname",'before precomp');
|
||||
|
||||
if precomp_mode == 1
|
||||
freqresp = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs);
|
||||
Digi_sig = freqresp.buildOFDM();
|
||||
elseif precomp_mode == 2
|
||||
Digi_sig = freqresp.precomp(Digi_sig,'maxampdb',3,'loadPath',precomp_path,'fileName',precomp_fn);
|
||||
Digi_sig.spectrum("fignum",11,"displayname",'after precomp');
|
||||
end
|
||||
|
||||
%%%%% AWG %%%%%%
|
||||
El_sig = M8199.process(Digi_sig);
|
||||
|
||||
% El_sig.signal = awgn(El_sig.signal,-3,'measured',pn_key);
|
||||
|
||||
%%%%% Lowpass el. components %%%%%%
|
||||
El_sig = Filter('filtdegree',2,"f_cutoff",60e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true).process(El_sig);
|
||||
|
||||
%%%%% Electrical Driver Amplifier %%%%%%
|
||||
El_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",9).process(El_sig);
|
||||
% El_sig = El_sig.setPower(6,"dBm");
|
||||
|
||||
fprintf('Driver output power: %s dBm\n', num2str(El_sig.power));
|
||||
fprintf('Driver output peak voltage: %s Vpp \n', num2str(max(El_sig.signal)-min(El_sig.signal)));
|
||||
|
||||
|
||||
% MAIN SIGNAL
|
||||
%%%%% MODULATE E/O CONVERSION %%%%%%
|
||||
vbias_rel = 0.5;
|
||||
u_pi = 2.9;
|
||||
vbias = -vbias_rel*u_pi;
|
||||
|
||||
[Opt_sig] = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El_sig.fs,"lambda",1290,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",pn_key).process(El_sig);
|
||||
|
||||
|
||||
% Opt_sig.eye(fsym,M);
|
||||
% %
|
||||
% figure(10)
|
||||
% hold on
|
||||
% scatter(El_sig.signal(1:100000)+vbias,(abs(Opt_sig.signal(1:100000)).^2)*1e3,0.1,'.','DisplayName','Modulator TF')
|
||||
% ylim([0 4]);
|
||||
% xlim([-u_pi/2, u_pi/2]+vbias);
|
||||
% xlabel('Input in V')
|
||||
% ylabel('abs(Output) in mW')
|
||||
|
||||
Optfilter = Filter('filtdegree',6,"f_cutoff",fsym.*0.7,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true);
|
||||
Opt_sig = Optfilter.process(Opt_sig);
|
||||
|
||||
Opt_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",0).process(Opt_sig);
|
||||
|
||||
i_ = wh.parameter.rop.length;
|
||||
|
||||
ber_ffe=zeros(i_);
|
||||
|
||||
patten=zeros(i_);
|
||||
|
||||
%%%%% Interference Signal Fiber Prop %%%%%%
|
||||
|
||||
Opt_sig = Fiber("fsimu",Opt_sig.fs,"fiber_length",link_length/1000,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.07).process(Opt_sig);
|
||||
|
||||
% Receiver ROP curve
|
||||
for i = 1:i_
|
||||
rop=wh.parameter.rop.values(i);
|
||||
|
||||
% Set ROP
|
||||
Rx_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",rop).process(Opt_sig);
|
||||
patten(i) = Rx_sig.power;
|
||||
|
||||
%%%%%% Square Law %%%%%%
|
||||
Rx_sig = Photodiode("fsimu",fdac*kover,"dark_current",2e-08,"responsivity",1,"temperature",20,"nep",1.8e-11).process(Rx_sig);
|
||||
|
||||
%%%%%% Lowpass PhDiode %%%%%%
|
||||
Rx_sig = Filter('filtdegree',2,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true).process(Rx_sig);
|
||||
|
||||
%%%%%% Scope %%%%%%
|
||||
fadc = 256e9;
|
||||
Lp_scpe = Filter('filtdegree',4,"f_cutoff",100e9,"fs",fadc,"filterType",filtertypes.butterworth,"active",true);
|
||||
Scpe_sig = Scope("fsimu",fdac*kover,"fadc",fadc,...
|
||||
"delay",0,"fixed_delay",0,"filtertype",filtertypes.butterworth,...
|
||||
"samplingdelay",0,"rand_samplingdelay",0,"freq_offset",0,"samp_jitter",0,...
|
||||
"adcresolution",10,"quantbuffer",0.1,'block_dc',1,'lpf_active',1,'H_lpf',Lp_scpe).process(Rx_sig);
|
||||
|
||||
if precomp_mode == 1
|
||||
freqresp.estimate(Scpe_sig,"save",true,"savePath",precomp_path,"fileName",precomp_fn);
|
||||
freqresp.plot();
|
||||
end
|
||||
|
||||
%%%%%% Sample to 2x fsym %%%%%%
|
||||
Scpe_sig = Scpe_sig.resample("fs_in",fadc,"fs_out",2*fsym);
|
||||
|
||||
|
||||
%%%%%% Sync Rx signal with reference %%%%%%
|
||||
[Scpe_sig,D,cuts] = Scpe_sig.tsynch("reference",Symbols,"fs_ref",fsym);
|
||||
|
||||
|
||||
%%%%% EQUALIZE %%%%%%
|
||||
%
|
||||
Eq = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",1);
|
||||
%Eq = VNLE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",[0.0004 0.0005 0.0006],"mu_tr",0,"order",[50,7,7],"sps",2,"decide",1);
|
||||
[EQ_sig] = Eq.process(Scpe_sig,Symbols);
|
||||
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
|
||||
[~,errors_bm,ber_ffe(i),errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
|
||||
disp(['BER: ',sprintf('%.1E',ber_ffe(i)),' - - ROP: ',num2str(patten(i)),'dBm - - PAM-',num2str(M),' - - ',num2str(fsym*1e-9),' GBd']);
|
||||
|
||||
end
|
||||
|
||||
for i = 1:i_
|
||||
rop=wh.parameter.rop.values(i);
|
||||
|
||||
wh.addValueToStorage(ber_ffe(i) ,'ber_ffe',M,datarate,rop);
|
||||
|
||||
end
|
||||
|
||||
toc
|
||||
disp(['Simulated: ',num2str(cnt/endcnt*100),' %']);
|
||||
wh.save('C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\MPI_August\auswertung\')
|
||||
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
cols = linspecer(8);
|
||||
|
||||
%cnt = cnt+1;
|
||||
ber_ffe = wh.getStoValue('ber_ffe',M,datarate,wh.parameter.rop.values);
|
||||
|
||||
|
||||
% Create the initial plot
|
||||
|
||||
figure(44);
|
||||
a = gca;
|
||||
hold on; % Retain the plot so new points can be added without complete redraw
|
||||
|
||||
plot(wh.parameter.rop.values,ber_ffe,"LineWidth",0.5,"LineStyle","-","Marker",".","MarkerSize",15,"DisplayName","FFE only");
|
||||
|
||||
|
||||
yline(3.8e-3,'DisplayName','HD-FEC','LineStyle','--','HandleVisibility','off');
|
||||
xlabel('Received Optical Power (dBm)');
|
||||
ylabel('Bit Error Rate (BER)');
|
||||
title('Bit Error Rate vs. ROP');
|
||||
set(gca,'yscale','log');
|
||||
set(gca,'Box','on');
|
||||
grid on;
|
||||
grid minor
|
||||
legend
|
||||
54
projects/standard_system/sensitivity_analysis.m
Normal file
54
projects/standard_system/sensitivity_analysis.m
Normal file
@@ -0,0 +1,54 @@
|
||||
M = wh.parameter.M.values(1);
|
||||
datarates = wh.parameter.datarate.values;
|
||||
rop = wh.parameter.rop.values;
|
||||
|
||||
|
||||
cnt = 1;
|
||||
for dr = datarates
|
||||
|
||||
ber_ffe = wh.getStoValue('ber_ffe',M,dr,rop);
|
||||
|
||||
sens_ffe(cnt) = getIntersection(ber_ffe,rop);
|
||||
|
||||
figure(112)
|
||||
hold on
|
||||
plot(rop,ber_ffe,"LineWidth",0.5,"LineStyle","-","Marker",".","MarkerSize",15,"DisplayName",['FFE only; ',num2str(dr), ' Gbps']);
|
||||
yline(3.8e-3,'DisplayName','HD-FEC','LineStyle','--','HandleVisibility','off');
|
||||
xlabel('Received Optical Power (dBm)');
|
||||
ylabel('Bit Error Rate (BER)');
|
||||
title('Bit Error Rate vs. ROP');
|
||||
set(gca,'yscale','log');
|
||||
set(gca,'Box','on');
|
||||
grid on;
|
||||
grid minor
|
||||
legend
|
||||
|
||||
cnt = cnt+1;
|
||||
|
||||
end
|
||||
|
||||
|
||||
figure(223);
|
||||
hold on; % Retain the plot so new points can be added without complete redraw
|
||||
plot(datarates,sens_ffe,"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName",['Linewidth: ',num2str(laser_linewidth.*1e-6),' MHz']);
|
||||
xlabel('Signal to Interference Ratio (dB)');
|
||||
ylabel('Receiver Sensitivity');
|
||||
title(['Bit Error Rate vs. SIR']);
|
||||
grid on;
|
||||
legend
|
||||
|
||||
|
||||
function i = getIntersection(ber,rop)
|
||||
|
||||
%get intersection between rop curve and hd-fec limit
|
||||
hdfec = 3.8e-3 .* ones(size(ber));
|
||||
i = InterX([rop;hdfec'],[rop;ber']);
|
||||
|
||||
if isempty(i)
|
||||
i = NaN;
|
||||
else
|
||||
i = i(1);
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
36
projects/standard_system/testcode_duobinary.m
Normal file
36
projects/standard_system/testcode_duobinary.m
Normal file
@@ -0,0 +1,36 @@
|
||||
% Define parameters
|
||||
n = 1; % Define the memory length n+1 (e.g., 1 for duobinary, 2 for tribinary, 3 for tetrabinary)
|
||||
M = 4; % Modulation order (e.g., 4 for QPSK)
|
||||
d = randi([0 M-1], 1, 100); % Example input sequence d(k)
|
||||
|
||||
% Pre-coding: bPR(k) = (d(k) - bPR(k-1)) mod M
|
||||
bPR = zeros(size(d));
|
||||
%bPR(1) = d(1); % Initial condition for pre-coding
|
||||
|
||||
for k = 1:numel(d)-1
|
||||
bPR(k+1) = mod( d(k) - bPR(k), M );
|
||||
end
|
||||
|
||||
% Polybinary coding: Convolution with (1 + z^-1)^n
|
||||
% Generate coefficients for the polybinary filter (1 + z^-1)^n
|
||||
coeff = ones(1, n+1); % Initialize coefficients with ones
|
||||
|
||||
for i = 2:n+1
|
||||
coeff(i) = nchoosek(n, i-1); % Binomial coefficient for expansion
|
||||
end
|
||||
|
||||
% Apply convolution to get the polybinary coded sequence
|
||||
polybinary_data = conv(bPR, coeff, "same");
|
||||
|
||||
% Modulo operation for decoding to stay within M levels
|
||||
d_reconstructed = mod(polybinary_data, M);
|
||||
|
||||
% Check if reconstruction is correct
|
||||
reconstruction_success = isequal(d, d_reconstructed);
|
||||
|
||||
figure(111)
|
||||
hold on
|
||||
stairs(d_reconstructed)
|
||||
stairs(d)
|
||||
|
||||
disp(['Reconstruction success: ', num2str(reconstruction_success)]);
|
||||
BIN
projects/standard_system/tf_test.mat
Normal file
BIN
projects/standard_system/tf_test.mat
Normal file
Binary file not shown.
55
test/duobinary_minimal_example.m
Normal file
55
test/duobinary_minimal_example.m
Normal file
@@ -0,0 +1,55 @@
|
||||
useprbs = 1;
|
||||
M = 8;
|
||||
randkey = 1;
|
||||
%%%%% PRBS Generation in correct shape for Modulation Format %%%%%%
|
||||
O = 18; %order of prbs
|
||||
N = 2^(O-1); %length of prbs
|
||||
[~,seed] = prbs(O,1); %initialize first seed of prbs
|
||||
bitpattern=[];
|
||||
|
||||
if useprbs
|
||||
for i = 1:log2(M)
|
||||
[bitpattern(:,i),seed] = prbs(O,N,seed);
|
||||
end
|
||||
else
|
||||
s = RandStream('twister','Seed',randkey);
|
||||
for i = 1:log2(M)
|
||||
bitpattern(:,i) = randi(s,[0 1], N, 1);
|
||||
end
|
||||
end
|
||||
|
||||
if M == 6
|
||||
bitpattern = reshape(bitpattern,[],1);
|
||||
bitpattern = bitpattern(1:end-mod(length(bitpattern),5));
|
||||
end
|
||||
|
||||
Tx_bits = Informationsignal(bitpattern);
|
||||
|
||||
Symbols_tx = PAMmapper(M,0).map(Tx_bits);
|
||||
Symbols_tx.fs = fsym;
|
||||
|
||||
% Symbols = Duobinary().precode(Symbols_tx);
|
||||
|
||||
Symbols = Duobinary().encode(Symbols_tx);
|
||||
|
||||
% Symbols.spectrum("displayname","db","fignum",12)
|
||||
|
||||
Symbols = Duobinary().feedbackdetector(Symbols);
|
||||
|
||||
% Symbols.eye(fsym,M);
|
||||
|
||||
% Symbols = Duobinary().decode(Symbols);
|
||||
|
||||
Rx_bits = PAMmapper(M,0).demap(Symbols);
|
||||
|
||||
[~,error_num,ber,error_pos] = calc_ber(Tx_bits.signal,Rx_bits.signal,"skip_front",0,"skip_end",1,"returnErrorLocation",1);
|
||||
|
||||
disp(['BER: ',sprintf('%.1E',ber),' - - PAM-',num2str(M)]);
|
||||
%
|
||||
figure;hold on
|
||||
stairs(Rx_bits.signal(1:100,1),'LineWidth',2)
|
||||
stairs(Tx_bits.signal(1:100,1),'LineStyle',':','LineWidth',2);
|
||||
|
||||
figure;hold on
|
||||
stairs(Symbols_tx.signal(1:100,1),'LineWidth',2)
|
||||
stairs(Symbols.signal(1:100,1),'LineStyle',':','LineWidth',2);
|
||||
Reference in New Issue
Block a user