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- Correction of the weighted DFE function in EQ.m
- Some evaluation scripts for FSO Data
This commit is contained in:
magf
2026-02-09 13:04:20 +01:00
parent 58e72070d9
commit 3edd64d365
22 changed files with 759 additions and 186 deletions
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29
projects/FSO_transmission/Evaluation Scripts/first_analysis_ber.m
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@@ -1,4 +1,4 @@
function BER_value = first_analysis_ber(current, power, num_pf_coeff, taps_ffe, taps_dfe, M, trlength, eq_method)
function BER_value = first_analysis_ber(current, power, num_pf_coeff, taps_ffe, taps_dfe, M, trlength, eq_method, filter_length, num_signal, our_signal, weighted_DFE)
%%
close all
@@ -12,9 +12,11 @@ function BER_value = first_analysis_ber(current, power, num_pf_coeff, taps_ffe,
if M == 2
tx_data_path = fullfile(base, "14G_PAM2\tx_info\tx_info_PAM2_14Gbd0.75RRC.mat");
filename = fullfile(base, "14G_PAM2\M=2_Rs=1.4e10_Fs=8e10_I=" + current + "mA_RoP=" + power + "mW_L=31m_PS=RRC_rolloff=0.75_Mode=Rise.mat");
data_tr_mf = load("C:\Users\magf\Desktop\Desktop\MATLAB-Zeugs\FSO Equalizer\FSO_FP_QCL_60umUTC\Already Recovered and Filtered\AfterSync_M=2_Rs=1.4e10_Fs=8e10_I=265mA_RoP=46.3mW_L=31m_PS=RRC_rolloff=0.75_Mode=Rise.mat");
elseif M == 4
tx_data_path = fullfile(base, "6G_PAM4\tx_info\tx_info_PAM4_6Gbd0.6RRC.mat");
filename = fullfile(base, "6G_PAM4\M=4_Rs=6e9_Fs=8e10_I=" + current + "mA_RoP=" + power + "mW_L=31m_PS=RRC_rolloff=0.6_Mode=Rise.mat");
data_tr_mf = load("C:\Users\magf\Desktop\Desktop\MATLAB-Zeugs\FSO Equalizer\FSO_FP_QCL_60umUTC\Already Recovered and Filtered\AfterSync_M=4_Rs=6e9_Fs=8e10_I=255mA_RoP=42.3mW_L=31m_PS=RRC_rolloff=0.6_Mode=Rise.mat");
end
if mode == 1
@@ -92,8 +94,12 @@ function BER_value = first_analysis_ber(current, power, num_pf_coeff, taps_ffe,
% timing sync -> at this point we still have no symbol timing recovery, we
% try to do this with 2sps EQ!
[~,Rx_synced_cell,inverted,sequenceFound,sequenceStarts] = Rx_matched.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 1);
Rx_matched_1 = Rx_synced_cell{1};
Rx_matched_1 = Rx_synced_cell{num_signal};
data_tr_mf = Electricalsignal(data_tr_mf.Results, "fs", fsym);
[~,Rx_synced_cell_tr_mf,inverted_tr_mf,sequenceFound_tr_mf,sequenceStarts_tr_mf] = data_tr_mf.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 1);
Rx_tr_mf = Rx_synced_cell_tr_mf{num_signal};
% Rx_Time_Rec = Rx_matched;
% Rx_Time_Rec = Timing_Recovery_Move_It('f_sim', 28e9, 'gamma', 0.1).process(Rx_matched_1);
@@ -105,14 +111,22 @@ function BER_value = first_analysis_ber(current, power, num_pf_coeff, taps_ffe,
sps = Kov;
end
Rx_Time_Rec.fs = fsym;
Rx_Time_Rec = Rx_Time_Rec.normalize('mode','rms');
Rx_tr_mf = Rx_tr_mf.normalize('mode','rms');
% Rx_Time_Rec.signal = resample(Rx_Time_Rec.signal, 12e9, 6e9);
% Rx_matched_1.plot("fignum",231231)
% Rx_Time_Rec.plot("fignum",231231)
%% not working..
Rx_synced = Rx_Time_Rec;
if our_signal
Rx_synced = Rx_Time_Rec;
else
Rx_synced = Rx_tr_mf;
end
% Rx_synced = Rx_Time_Rec;
% Rx_synced = Rx_synced_cell{1};
len_tr = trlength;
mu_ffe1 = 0.0001;
@@ -140,7 +154,7 @@ function BER_value = first_analysis_ber(current, power, num_pf_coeff, taps_ffe,
%% -------------------- FFE --------------------
% requires some more digging what is going on :-)
eq_ffe = EQ("Ne",[500, 0, 0],"Nb",[0,0,0], ...
eq_ffe = EQ("Ne",[500, 0, 0],"Nb",[0, 0, 0], ...
"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
"K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
@@ -162,7 +176,8 @@ function BER_value = first_analysis_ber(current, power, num_pf_coeff, taps_ffe,
eq_v = EQ("Ne",taps_ffe,"Nb",taps_dfe, ...
"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
"K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
"FFEmu",0,"plotfinal",0,"ideal_dfe",0,'weighted_DFE',1,'weighted_DFE_d_min',0.5, ...
'weighted_DFE_mode','I2','weighted_DFE_I_mode',weighted_DFE,'PDFE_coefficient',0.01);
pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0,"eth_style",mapping_style).levels);
@@ -194,7 +209,7 @@ function BER_value = first_analysis_ber(current, power, num_pf_coeff, taps_ffe,
%% -------------------- ML-based MLSE (L=2) --------------------
ml_mlse_equalizer = ML_MLSE("epochs_tr",150,"epochs_dd",1, ...
"len_tr",length(Rx_synced),"mu_dd",0.03,"mu_tr",0.03,"order",80,"sps",1, ...
"len_tr",length(Rx_synced),"mu_dd",0.03,"mu_tr",0.03,"order",filter_length,"sps",1, ...
"traceback_depth",256,"L",1,"delta",4,"adaptive_mu",0);
[ml_mlse_results] = ml_mlse(ml_mlse_equalizer, M, Rx_synced, Symbols, Bits,"precode_mode",duob_mode,"eth_style_symbol_mapping",mapping_style);