EQ adaptive DC removal
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@@ -19,6 +19,7 @@ classdef FFE_DCremoval < handle
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epochs_dd
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mu_dc
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dc_buffer_len
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constellation
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@@ -40,11 +41,14 @@ classdef FFE_DCremoval < handle
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options.epochs_dd = 5;
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options.mu_dc = 0.05;
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options.dc_buffer_len = 1;
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options.decide = false;
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end
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assert(options.dc_buffer_len>0);
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fn = fieldnames(options);
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for n = 1:numel(fn)
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obj.(fn{n}) = options.(fn{n});
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@@ -100,8 +104,7 @@ classdef FFE_DCremoval < handle
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x = [zeros(floor(obj.order/2),1); x; zeros(obj.order,1)];
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err = 0;
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% e_dc_buffer = NaN(100,1);
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e_dc_buffer = NaN(1,1);
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e_dc_buffer = NaN(obj.dc_buffer_len,1);
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e_dc_est = 0;
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for epoch = 1 : epochs
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@@ -130,6 +133,10 @@ classdef FFE_DCremoval < handle
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obj.e = obj.e - err(symbol) * U / normalizationfactor; % Weight update rule of NLMS
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end
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%Update the dc estimation every n-th symbol. This is a
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%trivial implementation of parallel EQ´s where the
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%errors are not apparent in every step. See Silas OFC
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%2023 "MPI mitigation adaptive DC removal"
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if mod(symbol,length(e_dc_buffer)) == 0
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e_dc_buffer(1) = e_dc_est - obj.mu_dc * err(symbol);
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e_dc_buffer = circshift(e_dc_buffer,1);
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@@ -8,9 +8,10 @@ Bits = load("projects/MPI_August/bits.mat","Bits");
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Bits = Bits.Bits;
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mdc = [1e-3,1e-2,2e-2,3e-2,4e-2,5e-2,1e-1];
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mdc = [0.6, 0.7, 0.8, 1, 1.2];
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for m = 1:numel(mdc)
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Eq = FFE_DCremoval("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",0,"mu_dc",mdc(m));
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Eq = FFE_DCremoval("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",0,"mu_dc",mdc(m),"dc_buffer_len",112);
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[EQ_sig] = Eq.process(Scope_sig,Symbols);
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%%%%% DEMAP %%%%%%
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