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gui_Q1plot for each node.py
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185 lines (165 loc) · 6.37 KB
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import tkinter
def plot():
import math
import random
import numpy
#random.seed(1206701)
import time
start_time = time.clock()
H = [[1,1,0,0,1,1,1,0],
[0,1,1,1,0,0,0,0],
[0,0,1,0,1,0,1,1],
[0,0,0,1,0,1,1,1]]
M = len(H)
N = len(H[0])
R = (N-M)/N
print('R',R)
snr = float(snr1.get())
MAX_RUN = 1000
MAX_ITERATION = 15
MaxValue = 0.999999999
MinValue = 0.000000001
#print('H',H)
EbN0dB = list(range(0,9))
ber_uncoded = []
ber_ldpc = []
Q0_plot= numpy.zeros((MAX_ITERATION,N))
Q1_plot= numpy.zeros((MAX_ITERATION,N))
print('SNR:',snr)
Eb = 1
noise_variance = 0.5*Eb*10**(-snr/10)
print("noise",noise_variance)
noise_variance_coded = 0.5/R*Eb*10**(-snr/10) #Watid
print('Variance_uncoded',noise_variance)
print('Variance_coded',noise_variance_coded)
cnt_error_uncoded = 0
cnt_error_ldpc = [0]*MAX_ITERATION
for run in range(MAX_RUN):
#data = [random.randint(0,1) for k in range(N)]
#print('Data',data)
data = [0, 0, 0, 0, 0, 0, 0, 0]
bpsk = [2*k-1 for k in data]
noise = [random.gauss(mu=0, sigma = math.sqrt(noise_variance)) for k in range(len(data))]
noise_coded = [random.gauss(mu=0, sigma = math.sqrt(noise_variance_coded)) for k in range(len(data))] #Watid
receive = [bpsk[k] + noise[k] for k in range(len(data))]
receive_coded = [bpsk[k] + noise_coded[k] for k in range(len(data))] #Watid
detect = [1 if k>0 else 0 for k in receive]
uncode_error = [1 if detect[k]!=data[k] else 0 for k in range(N-M)] #Watid
cnt_error_uncoded += sum(uncode_error)
#print('Uncoded error',uncode_error)
P0 = [1/(1+math.exp(2*r/noise_variance_coded)) for r in receive_coded] #Watid
P1 = [1-p for p in P0]
#print('P0',P0)
#print('P1',P1)
qij0 = []
qij1 = []
for m in range(M):
qij0.append([])
qij1.append([])
for n in range(N):
qij0[m].append(P0[n]*H[m][n])
qij1[m].append(P1[n]*H[m][n])
#print('qij0',qij0)
#print('qij1',qij1)
rij0 = []
rij1 = []
for m in range(M):
rij0.append([])
rij1.append([])
for n in range(N):
rij0[m].append(0)
rij1[m].append(0)
#print('rij0',rij0)
#print('rij1',rij1)
Q0 = []
Q1 = []
for n in range(N):
Q0.append(0)
Q1.append(0)
for itr in range(MAX_ITERATION):
# print('Itr ---------',itr)
for m in range(M):
prod_term = 1
for k in range(N):
if H[m][k] != 0:
if qij1[m][k]>MaxValue: #Watid
qij1[m][k] = MaxValue #Watid
if qij1[m][k]<MinValue: #Watid
qij1[m][k] = MinValue #Watid
prod_term *= 1-2*qij1[m][k]
for n in range(N):
if H[m][n] != 0:
rij0[m][n] = 0.5 + 0.5*prod_term/(1-2*qij1[m][n]);
rij1[m][n] = 1 - rij0[m][n];
#print('rij0 = ',rij0)
#print('rij1 = ',rij1)
for n in range(N):
prod_rij0 = 1
for m in range(M):
if H[m][n]!=0:
prod_rij0 *= rij0[m][n]
Q0[n] = P0[n]*prod_rij0
prod_rij1 = 1
for m in range(M):
if H[m][n]!=0:
prod_rij1 *= rij1[m][n]
Q1[n] = P1[n]*prod_rij1
#print('Q0 = ',Q0)
#print('Q1 = ',Q1)
for m in range(M):
for n in range(N):
if H[m][n]!=0:
qij0[m][n] = Q0[n]/rij0[m][n]
qij1[m][n] = Q1[n]/rij1[m][n]
K = qij0[m][n] + qij1[m][n]
qij0[m][n] /= K
qij1[m][n] /= K
#print('qij0 =',qij0)
#print('qij1 =',qij1)
for n in range(N):
K = Q0[n] + Q1[n]
Q0[n] /= K
Q1[n] /= K
#print('Q0 = ',Q0)
#print('Q1 = ',Q1)
Q0_plot[itr][n]=Q0[n]
Q1_plot[itr][n]=Q1[n]
detect = [1 if Q1[k]>Q0[k] else 0 for k in range(N-M)] #Watid
error = [1 if detect[k]!=data[k] else 0 for k in range(N-M)] #Watid
#cnt_error_ldpc[itr] += sum(error)
#print('Itr',itr,'error= ',error)
#ber_ldpc.append([k/(MAX_RUN*(N-M)) for k in cnt_error_ldpc]) #Watid
#ber_uncoded.append(cnt_error_uncoded/(MAX_RUN*(N-M))) #Watid
#ber_ldpc15 = [k[13] for k in ber_ldpc]
EbN0 = [10**(k/10) for k in EbN0dB]
#ber_uncoded_theory = [0.5*math.erfc(math.sqrt(k)) for k in EbN0]
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.gca()
ax.set_xticks(numpy.arange(0, MAX_ITERATION+1, 1))
#ax.set_yticks(numpy.arange(0.001, 0.1, 0.1))
#plt.semilogy(EbN0dB,ber_uncoded,marker='o')
#plt.semilogy(EbN0dB,ber_uncoded_theory,marker='x')
## for n in range(N):
## plt.plot(range(MAX_ITERATION),Q0_plot[:,n],marker='s')
## plt.grid()
## #plt.axis('scaled')
## plt.show(block=False)
for n in range(N):
tmp = numpy.copy(Q1_plot[:,n])
tmp = numpy.insert(tmp,0,P1[n])
print('Tmp',tmp)
plt.plot(range(MAX_ITERATION+1),tmp,marker='x')
#print(Q1_plot)
plt.grid()
#plt.axis('scaled')
plt.show(block=False)
#plt.plot(range(MAX_ITERATION),P1,marker='s')
root = tkinter.Tk()
root.title("BER vs SNR plot")
bt = tkinter.Button(root, text="run", command=plot,bg='sky blue')
bt.place(x=6,y=6)
bt.config(height=4,width=8)
snr1= tkinter.StringVar()
snr_text=tkinter.Entry(root, width=10,textvariable=snr1)
snr_text.place(x=80,y=6)