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This commit is contained in:
Silas Oettinghaus
2024-04-19 10:31:36 +02:00
parent 025498d120
commit ed17953407
30 changed files with 3261 additions and 1580 deletions
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51
Classes/01_transmit/PAMmapper.m
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@@ -19,10 +19,16 @@ classdef PAMmapper
end
function signalclass_out = map(obj,signalclass_in)
signalclass_in.signal = obj.map_(signalclass_in.signal);
signalclass_in = signalclass_in.logbookentry();
signalclass_out = signalclass_in;
function out = map(obj,signal_in)
if isa(signal_in,'Signal')
signal_in.signal = obj.map_(signal_in.signal);
signal_in = signal_in.logbookentry();
out = signal_in;
else
out = signal_in;
end
end
function signalclass_out = demap(obj,signalclass_in)
@@ -157,7 +163,7 @@ classdef PAMmapper
case 2
% 4-ASK
data_out=[comp_real(:,:,2); ones(s1,s2)-comp_real(:,:,1)+comp_real(:,:,3)];
data_out=[comp_real(:,:,2); ones(s1,s2) - comp_real(:,:,1) + comp_real(:,:,3)];
case 3
@@ -179,16 +185,43 @@ classdef PAMmapper
end
function [data_out] = decide_pamlevel(obj,data_in)
function [data_out] = decide_pamlevel(obj,data_in,options)
arguments
obj
data_in Signal
options.symbol_levels = []
end
%A) normally return the preproduct of the decision
a = squeeze(repmat(real(data_in.signal),[1 1 length(obj.thresholds)])); %Eingangssignal in 3 spalten
b = squeeze(repmat(reshape(obj.thresholds(:).',[1 1 length(obj.thresholds)]),[1 length(data_in.signal) 1])); %Threshold in 3 Spalten
comp_real = a > b; %check for each symbol/ sampling if it exeeds the obj.thresholdseshold 1, 2 or 3
data_out = data_in;
data_out.signal = sum(comp_real,2);
%Option: return the actual level values/ just map onto given
%symbol levels
if ~isempty(options.symbol_levels)
data_out.signal = options.symbol_levels(data_out.signal+1);
end
end
data_out = sum(comp_real,2);
function [out] = separate_pamlevels(obj,data_in)
%A) normally return the preproduct of the decision
a = squeeze(repmat(real(data_in.signal),[1 1 length(obj.thresholds)])); %Eingangssignal in 3 spalten
b = squeeze(repmat(reshape(obj.thresholds(:).',[1 1 length(obj.thresholds)]),[1 length(data_in.signal) 1])); %Threshold in 3 Spalten
comp_real = a > b; %check for each symbol/ sampling if it exeeds the obj.thresholdseshold 1, 2 or 3
comp_real_sum = sum(comp_real,2);
%data_out = (data_out*2)-3;
out = NaN(length(data_in),length(obj.thresholds)+1);
for idx = 1:length(data_in)
out(idx,comp_real_sum(idx)+1) = data_in.signal(idx);
end
%data_out = pam_level_decision .* 1/sqrt(5);
end
end