Minor bug fixes and code formatting

diff --git a/main.m b/main.m
index 38dcccc..8b96d33 100644 (file)
--- a/main.m
+++ b/main.m
@@ -8,7 +8,6 @@ Rsym = 28e9; % symbol rate (sym/sec)
 zs = 42;
 plotlen = length(zs);
 
-
 %% Tx RRC filter properties
 rolloff = 0.25;
 span = 6; % filter span
@@ -54,7 +53,7 @@ Eperphoton = hc / (lambda * 1e-9); % J
 %% Stores result to be plotted
 ber = zeros(plotlen, 1);
 if plotlen > 1
-  fig = figure; hold on;
+  fig = figure;
 end
 
 %% sps and Tsamp change at Tx/Rx, save these for later.
@@ -118,16 +117,16 @@ for i = 1 : plotlen
   Tsamp = TsampOrig;
 
   %% Split-step Fourier
-  [A_x, A_y] = ssfs(A_x, A_y, D, lambda, z, dz, Tsamp, gamma, alpha);
+  [Al_x, Al_y] = ssfs(A_x, A_y, D, lambda, z, dz, Tsamp, gamma, alpha);
 
   %% Phase noise
-  A_x = phaseNoise(A_x, linewidthTx, linewidthLO, Tsamp);
-  A_y = phaseNoise(A_y, linewidthTx, linewidthLO, Tsamp);
+  Al_x = phaseNoise(Al_x, linewidthTx, linewidthLO, Tsamp);
+  Al_y = phaseNoise(Al_y, linewidthTx, linewidthLO, Tsamp);
 
   %% Here, only receive the central channel 1.
-  % For channel n: A_x .* conj(carriers(:, n)); etc.
-  r_x = rxFilter(A_x, rolloff, span, sps);
-  r_y = rxFilter(A_y, rolloff, span, sps);
+  % For channel n: Al_x .* conj(carriers(:, n)); etc.
+  r_x = rxFilter(Al_x, rolloff, span, sps);
+  r_y = rxFilter(Al_y, rolloff, span, sps);
   % Rx filter performs downsampling as well, keep track of this
   sps = 2;
   Tsamp = Tsamp * spsOrig / sps;
@@ -160,7 +159,7 @@ for i = 1 : plotlen
   [~, ber(i)] = biterr([data_x(:, 1); data_y(:, 1)], [demod_x; demod_y]);
 
   q = 20 * log10(erfcinv(2*ber)*sqrt(2));
-  if plotlen > 1
+  if i > 1
     figure(fig);
     plot(zs, q);
   end

diff --git a/pdm_adaptiveCMA.m b/pdm_adaptiveCMA.m
index 6dca946..a5abf73 100644 (file)
--- a/pdm_adaptiveCMA.m
+++ b/pdm_adaptiveCMA.m
@@ -3,7 +3,7 @@ function [x, y] = pdm_adaptiveCMA(rx, ry)
   %% Input: rx, ry: Both polarizations of received signal
   %% Output: x, y: Equalizaed signal
 
-  taps = 19; % Number of taps. Should be odd.
+  taps = 15; % Number of taps. Should be odd.
   mu = 1e-3; % Convergence parameter for gradient descent.
 
   hxx = zeros(taps, 1);
@@ -39,8 +39,10 @@ function [x, y] = pdm_adaptiveCMA(rx, ry)
         yp = [zeros((taps - 1) / 2 - it + 1, 1); ry(1:it + (taps - 1) / 2)];
       elseif it + (taps - 1) / 2 > numSymbs
         %% If near the end, append zeros
-        xp = [rx(it - (taps - 1) / 2 : end); zeros(it + (taps - 1) / 2 - numSymbs, 1)];
-        yp = [ry(it - (taps - 1) / 2 : end); zeros(it + (taps - 1) / 2 - numSymbs, 1)];
+        xp = [rx(it - (taps - 1) / 2 : end); ...
+              zeros(it + (taps - 1) / 2 - numSymbs, 1)];
+        yp = [ry(it - (taps - 1) / 2 : end); ...
+              zeros(it + (taps - 1) / 2 - numSymbs, 1)];
       else
         %% Just slice the signal
         xp = rx(it - (taps - 1) / 2 : it + (taps - 1) / 2);

diff --git a/phaseNoise.m b/phaseNoise.m
index 4363c22..65dcde9 100644 (file)
--- a/phaseNoise.m
+++ b/phaseNoise.m
@@ -1,4 +1,4 @@
-function [xPN, phasenoise]  = phaseNoise(x, linewidthTx, linewidthLO, Tsamp)
+function [xPN, phasenoise] = phaseNoise(x, linewidthTx, linewidthLO, Tsamp)
   %% Simulates laser phase noise.
   %% Inputs:
   %%  - x: input waveform