Equalizer with different DC removal positions
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@@ -49,6 +49,8 @@ classdef EQ_silas < handle
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trainloops
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ddloops
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dcmode
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@@ -73,6 +75,8 @@ classdef EQ_silas < handle
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options.mu_dc_dd = 0.01;
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options.mu_combined_dd = [0.0004 0.0005 0.0006 0.0007 ];
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options.dcmode
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end
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fn = fieldnames(options);
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@@ -151,18 +155,32 @@ classdef EQ_silas < handle
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m = m+1;
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%get Sigal input vectors with correct length for VNLE
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x_in_block = obj.x_in(obj.Ne(1)+n+(obj.sps-1):-1:n+obj.sps).';
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if obj.dcmode ~= 3
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x_in_block = obj.x_in(obj.Ne(1)+n+(obj.sps-1):-1:n+obj.sps).';
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elseif obj.dcmode == 3
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x_in_block = obj.x_in(obj.Ne(1)+n+(obj.sps-1):-1:n+obj.sps).' + obj.e_dc;
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end
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x_in_vnle_format = obj.calcVNLENonlinVecs(x_in_block,obj.Ie2,obj.Ie3,obj.Ne,[1,1,1]);
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%get Reference input vectors with correct length for VNLE
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d_block = obj.d(obj.Nb(1)-obj.delay+m-2:-1:m-obj.delay-1).';
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d_vnle_format = obj.calcVNLENonlinVecs(d_block,obj.Ib2,obj.Ib3,obj.Nb,obj.d_norm);
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% Calculate the Error
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obj.e_ffe = obj.e.' * x_in_vnle_format;
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obj.e_dfe = obj.b.' * d_vnle_format;
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obj.error = obj.e_dc + obj.e_ffe - obj.e_dfe - obj.d(obj.Nb(1)-1+m-obj.delay);
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obj.e_ffe = obj.e.' * x_in_vnle_format;
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% Calculate the Error
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if obj.dcmode == 1
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obj.error = obj.e_dc + obj.e_ffe - obj.e_dfe - obj.d(obj.Nb(1)-1+m-obj.delay);
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elseif obj.dcmode == 2
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obj.e_ffe = obj.e_ffe + obj.e_dc;
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obj.error = obj.e_ffe - obj.e_dfe - obj.d(obj.Nb(1)-1+m-obj.delay);
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elseif obj.dcmode == 3
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obj.error = obj.e_ffe - obj.e_dfe - obj.d(obj.Nb(1)-1+m-obj.delay);
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end
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%update FFE coefficients with LMS
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obj.e = obj.e - obj.error*conj(x_in_vnle_format)*obj.mu_ffe_train;
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@@ -179,6 +197,7 @@ classdef EQ_silas < handle
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end
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function decisionDirectedMode(obj)
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%start the dd mode with coefficients from training
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@@ -195,6 +214,10 @@ classdef EQ_silas < handle
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ones(1,obj.Ce(2))*obj.mu_combined_dd(2)... %2nd order ffe
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ones(1,obj.Ce(3))*obj.mu_combined_dd(3)... %3rd order ffe
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ones(1,sum(obj.Cb))*obj.mu_combined_dd(4)]); %all order dfe
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mu_ffe = [ones(1,obj.Ce(1))*obj.mu_combined_dd(1)... %1st order ffe
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ones(1,obj.Ce(2))*obj.mu_combined_dd(2)... %2nd order ffe
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ones(1,obj.Ce(3))*obj.mu_combined_dd(3)];
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mu_dfe = [ones(1,sum(obj.Cb))*obj.mu_combined_dd(4)];
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end
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y = zeros(1,floor(obj.x_length/obj.sps));
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@@ -207,29 +230,47 @@ classdef EQ_silas < handle
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m=m+1;
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%get Sigal input vectors with correct length for VNLE
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x = obj.x_in(obj.Ne(1)+k-1:-1:k).';
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if obj.dcmode ~= 3
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x = obj.x_in(obj.Ne(1)+k-1:-1:k).';
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elseif obj.dcmode == 3
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x = obj.x_in(obj.Ne(1)+k-1:-1:k).' + obj.e_dc;
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end
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x_vnle = obj.calcVNLENonlinVecs(x,obj.Ie2,obj.Ie3,obj.Ne,[1,1,1]);
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%combine FFE with DFE to one vector (cursor between the two sequences)
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x_d = [x_vnle;-d_vnle];
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%Apply filter
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y(m) = obj.e_dc + x_d.'* coeff;
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if obj.dcmode == 1
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y(m) = obj.e_dc + x_d.'* coeff;
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elseif obj.dcmode == 2 || obj.dcmode == 3
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% x_ffe = obj.e.' * x_vnle;
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% x_dfe = obj.b.' * d_vnle;
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% y(m) = x_ffe - x_dfe;
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y(m) = x_d.'* coeff;
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end
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%Decision
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[~,symbol_idx] = min(abs(y(m) - obj.d_constellation)); % decision for closest constellation point
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d_hat(k) = obj.d_constellation(symbol_idx);
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%Error between FFE & DFE filtered signal and Decision
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obj.error = y(m) - d_hat(k);
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if obj.dcmode == 1 || obj.dcmode == 3
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obj.error = y(m) - d_hat(k);
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elseif obj.dcmode == 2
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obj.error = y(m) - d_hat(k) + obj.e_dc;
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end
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%Update coefficients (both FFE and DFE)
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obj.e = obj.e - obj.error * mu_ffe * conj(x_vnle);
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obj.b = obj.b + obj.error * mu_dfe * conj(d_vnle);
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coeff = coeff - mu_mat*obj.error*conj(x_d);
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if 1 %mu_mat ~= 0
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obj.e_dc = obj.e_dc - obj.mu_dc_dd * obj.error;
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obj.error_log(ddloop,m) = obj.e_dc.^2;
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end
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obj.e_dc = obj.e_dc - obj.mu_dc_dd * obj.error;
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obj.error_log(ddloop,m) = obj.e_dc.^2;
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% Append new decision to decision feedback
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if obj.Nb(1) > 0
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