FSO:

- try to analyze spectrum of FSO and use the coeffs in the ML analysis. simple channel coeff + awgn example

projects/FSO_transmission/first_analysis.m

@@ -83,8 +83,8 @@ Scope_sig = Electricalsignal(traceData.YData,"fs",fs);
 % pulse is symmetric, hence we can use pulsef directly as matched filter.
 % It feels off (bit I think correct) that the fsym is now the output freq.!!
 % -> output 2 sps to omit timing recovery!?
-apply_matched_filter = 0;
-k = 4;
+apply_matched_filter = 1;
+k = 1;
 if apply_matched_filter
     
     Pform = Pulseformer("fsym",fsym,"fdac",k*fsym,"pulse","rrc","pulselength",16,"alpha",rolloff,"matched",1);
@@ -96,6 +96,18 @@ else
 end
 Rx_matched.spectrum();
 
+
+%%
+
+coefficients = arburg(Rx_matched.signal,25);
+
+figure()
+[h,w] = freqz(1,coefficients,Rx_matched.length,"whole",Rx_matched.fs);
+h = h/max(abs(h));
+hold on
+w_ = (w - Rx_matched.fs/2);
+plot(w_.*1e-9,20*log10(fftshift(abs(h))),'DisplayName',['Burg Coeffs: ', num2str(round(coefficients,2)), ' '],'LineWidth',2);
+
 %% Timing Rec
 apply_timing_rec = 1;
 if apply_timing_rec