#import cProfile
import numpy as np
from qampy.core import io
from qampy import signals
import os as os_mod
fb = 40.
os = 2
fs = os*fb
N = 3*10**5
M = 64
QAM = signals.QAMModulator(M)
snrs = [10, 20, 30]
#lw_LO = [100e3]
hdfn1 ="/tmp/sav_meas_test_single_pol.h5"
hdfn2 ="/tmp/sav_meas_test_dual_pol.h5"
if os_mod.path.exists(hdfn1):
os_mod.remove(hdfn1)
#single pol
h5_sp = io.create_h5_meas_file(hdfn1, "single polarisation test save")
for snr in snrs:
X, symbolsX, bitsX = QAM.generateSignal(N, snr, baudrate=fb, samplingrate=fs, PRBS=True)
id_m = io.save_osc_meas(h5_sp, X, osnr=snr, wl=1550, samplingrate=fs, symbolrate=fb, MQAM=M)
io.save_inputs(h5_sp, id_m, symbols=symbolsX)
h5_sp.close()
if os_mod.path.exists(hdfn2):
import numpy as np
import matplotlib.pyplot as plt
from qampy import signals
""" Check the symbol rate of a QAM signal against the theoretical symbol rate"""
M = 32
snr = np.arange(5, 25, 1)
N = 10**5
ser = []
ser2 = []
modl = signals.QAMModulator(M)
for sr in snr:
data_rx, symbols, bits = modl.generate_signal(N, sr)
ser.append(modl.cal_ser(data_rx, symbol_tx=symbols))
ser2.append(modl.cal_ser(data_rx, bits_tx=bits))
ser = 10 * np.log10(np.array(ser))
ser2 = 10 * np.log10(np.array(ser2))
theory_ser = 10 * np.log10(modl.theoretical_ser(10**(snr / 10)))
assert np.allclose(
ser, ser2
), "SER calculated from symbol is different to ser calculated from bits"
#assert np.allclose(ser, theory_ser, atol=1), "SER calculated from symbol is different to theoretical ser"
plt.figure()
plt.plot(snr, theory_ser, label='theory')
plt.plot(snr, ser, 'or', label='calculation')
plt.xlabel('SNR [dB]')
plt.ylabel('SER [dB]')
plt.legend()
plt.show()