3676d92b30
+ duobinary_target now supports memoryless decoding (FFE targets DB response without MLSE) + PAMmapper.quantize now supports custom constellations for quantization + Added a new folder 'Documentations' for pdfs, slides, etc. + Added new FSO evaluation scripts in projects/FSO transmission/Evaluation Scripts + Added ffe_db (rudimentary module, not important anymore)
116 lines
3.9 KiB
Matlab
116 lines
3.9 KiB
Matlab
%%
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clear all;
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close all;
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% General Parameters
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M = 2;
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fsym = 20e9;
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K_over = 8;
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fs = K_over*fsym;
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pulselength_mf = 16;
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rolloff_mf = 0.1;
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N = 18;
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Pform = Pulseformer("fsym",fsym,"fdac",fs,"pulse","rc","pulselength",16,"alpha",0.1);
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duob_mode = db_mode.no_db;
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% FFE Parameters
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len_tr = 4096*2;
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mu_ffe1 = 0.0001;
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mu_ffe2 = 0.0008;
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mu_ffe3 = 0.001;
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mu_dc = 0.004;
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mu_ffe = [mu_ffe1 mu_ffe3 mu_ffe3];
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mu_dfe = 0.0004;
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ffe_order = [300, 0, 0];
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% Toggles
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hybrid = 1;
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ctle = 1;
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timing_recovery = 0;
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ffe = 0;
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plots = 1;
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% Generate Data
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[a_1,a_1_Symbols,a_1_Tx_bits] = PAMsource(...
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"fsym",fsym,"M",M,"order",N,"useprbs",0,...
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"fs_out",fs,...
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"applyclipping",0,"clipfactor",1.5,...
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"applypulseform",1,"pulseformer",Pform,...
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"randkey",1,...
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'duobinary_mode',duob_mode,...
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"mrds_code",0,"mrds_blocklength",512).process();
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[a_2,a_2_Symbols,a_2_Tx_bits] = PAMsource(...
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"fsym",fsym,"M",M,"order",18,"useprbs",0,...
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"fs_out",fs,...
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"applyclipping",0,"clipfactor",1.5,...
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"applypulseform",1,"pulseformer",Pform,...
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"randkey",1,...
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'duobinary_mode',duob_mode,...
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"mrds_code",0,"mrds_blocklength",512).process();
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% S-Parameter Calculation
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file_path = "C:\Users\magf\Desktop\Desktop\MATLAB-Zeugs\COM Test\Mellitz\host_pkg_top_50mm_max_skew_cable_module_pin_pad_fext1.s4p";
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plot_parameters = 1;
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test = 0;
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S_test = [0,1;1,0];
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[b_1, b_2] = Electrical_Trace_BiDi('file_path',file_path,'plot',plot_parameters,'test',test,'S_test',S_test).process(a_1,a_2);
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% Hybrid
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if hybrid
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[~,b_1,~] = Electrical_Hybrid("file_path",file_path).process(a_1,b_1);
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[~,b_2,~] = Electrical_Hybrid("file_path",file_path).process(a_2,b_2);
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end
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% CTLE
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if ctle
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b_2.normalize("mode","rms").plot("displayname",'Before CTLE','fignum',9);
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b_2.normalize("mode","rms").spectrum("displayname",'Before CTLE','normalizeTo0dB',1,'fignum',10);
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b_2.normalize("mode","rms").eye(fsym,2,'displayname','Before CTLE','fignum',11);
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b_2 = CTLE('Aac_dB',0,'Adc_dB',-5,'f_p1',7.5e9,'f_p2',10e9,'plot',1).process(b_2);
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b_2.normalize("mode","rms").plot("displayname",'After CTLE','fignum',9);
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b_2.normalize("mode","rms").spectrum("displayname",'After CTLE','normalizeTo0dB',1,'fignum',10);
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b_2.normalize("mode","rms").eye(fsym,2,'displayname','After CTLE','fignum',12);
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end
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% Timing Recovery
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if timing_recovery
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b_1 = MaxVar_Timing_Recovery('mode',0,'fsym',fsym,'fadc',K_over*fsym,'num_tau',K_over*128,'sps',K_over,'comp_signal',0,'comp_mode',0).process(b_1);
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b_2 = MaxVar_Timing_Recovery('mode',0,'fsym',fsym,'fadc',K_over*fsym,'num_tau',K_over*128,'sps',K_over,'comp_signal',0,'comp_mode',0).process(b_2);
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end
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% FFE
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if ffe
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eq_ffe = EQ("Ne",ffe_order,"Nb",[0,0,0], ...
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"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
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"K",1,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
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"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
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output.ffe_results = ffe(eq_ffe,M,b_2,a_1_Symbols,a_1_Tx_bits, ...
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"precode_mode",duob_mode,'showAnalysis',1,"postFFE",[], ...
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"eth_style_symbol_mapping",0);
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output.ffe_results.metrics.print
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end
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% Plots
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if plots
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% Time Domain Signals
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a_1.normalize("mode","rms").plot("displayname",'1st Port Tx','fignum',3);
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b_2.normalize("mode","rms").plot("displayname",'2nd Port Rx','fignum',3);
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a_2.normalize("mode","rms").plot("displayname",'2nd Port Tx','fignum',4);
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b_1.normalize("mode","rms").plot("displayname",'1st Port Rx','fignum',4);
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% Spectra
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a_1.normalize("mode","rms").spectrum("displayname",'1st Port Tx','normalizeTo0dB',1,'fignum',5);
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b_2.normalize("mode","rms").spectrum("displayname",'2nd Port Rx','normalizeTo0dB',1,'fignum',5);
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a_2.normalize("mode","rms").spectrum("displayname",'2nd Port Tx','normalizeTo0dB',1,'fignum',6);
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b_1.normalize("mode","rms").spectrum("displayname",'1st Port Rx','normalizeTo0dB',1,'fignum',6);
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figure;plot(xcorr(a_1.signal,b_2.signal));
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figure;plot(xcorr(a_2.signal,b_1.signal));
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end |