def test_recovery_with_pmd(self, theta, dgd):
snr = 30.
ntaps = 41
sig = signals.SignalWithPilots(64,
2**16,
1024,
32,
nframes=3,
nmodes=2,
fb=24e9)
sig2 = sig.resample(2 * sig.fb, beta=0.1, renormalise=True)
sig3 = impairments.change_snr(sig2, snr)
sig3 = impairments.apply_PMD(sig3, theta * np.pi, dgd)
sig4 = sig3[:, 20000:]
sig4.sync2frame(corr_coarse_foe=False)
s1, s2 = equalisation.pilot_equaliser(sig4, [5e-3, 5e-3],
ntaps,
True,
adaptive_stepsize=True,
foe_comp=False)
ph = phaserec.find_pilot_const_phase(
s2.extract_pilots()[:, :s2._pilot_seq_len], s2.pilot_seq)
s2 = phaserec.correct_pilot_const_phase(s2, ph)
ser = s2.cal_ser(synced=False)
snr_m = s2.est_snr(synced=False)
snr_db = 10 * np.log10(np.mean(snr_m))
assert np.mean(ser) < 1e-4
def test_coarse_freq_offset(self, fo, mode_offset):
snr = 37
ntaps = 19
sig = signals.SignalWithPilots(64,
2**16,
1024,
32,
nframes=3,
nmodes=2,
fb=24e9)
sig2 = sig.resample(2 * sig.fb, beta=0.01, renormalise=True)
sig3 = impairments.simulate_transmission(sig2,
snr,
freq_off=fo,
modal_delay=[0, mode_offset])
sig4 = helpers.normalise_and_center(sig3)
sig4 = sig4[:, 2000:]
sig4.sync2frame(corr_coarse_foe=True)
s1, s2 = equalisation.pilot_equaliser(sig4, [1e-3, 1e-3],
ntaps,
True,
adaptive_stepsize=True,
foe_comp=True)
d, ph = phaserec.pilot_cpe(s2, nframes=1)
assert np.mean(d.cal_ber()) < 1e-5
def test_pilot_based_nframe_ber(self, frames ):
mysig = signals.SignalWithPilots(64,2**16,2**10,32,nmodes=2,Mpilots=4,nframes=4,fb=24e9)
mysig2 = mysig.resample(mysig.fb*2,beta=0.1)
mysig3 = impairments.simulate_transmission(mysig2,snr=25, modal_delay=(4000, 4000))
mysig3.sync2frame()
wxy, eq_sig,_ = equalisation.pilot_equaliser_nframes(mysig3, (1e-3, 1e-3), 45, foe_comp=False, frames=frames)
assert np.all(eq_sig.cal_ber(frames=frames) < 5e-3)
def test_pilot_based_nframe_len(self, frames ):
mysig = signals.SignalWithPilots(64,2**16,2**10,32,nmodes=2,Mpilots=4,nframes=4,fb=24e9)
mysig2 = mysig.resample(mysig.fb*2,beta=0.01)
mysig3 = impairments.simulate_transmission(mysig2,snr=25)
mysig3.sync2frame()
wxy, eq_sig,_ = equalisation.pilot_equaliser_nframes(mysig3, (1e-3, 1e-3), 45, foe_comp=False, frames=frames)
assert eq_sig.shape[-1] == eq_sig.frame_len*len(frames)
def test_sync_frame(self, ntaps, shift):
s = signals.SignalWithPilots(128, 2**16, 1024, 32, nframes=3)
s = s.resample(2*s.fs, beta=0.1)
s = impairments.change_snr(s, 30)
s = np.roll(s, shift, axis=-1)
s.sync2frame(Ntaps=ntaps, adaptive_stepsize=True, mu=1e-2, method="cma", Niter=10)
shf = shift-ntaps//2
npt.assert_equal(s.shiftfctrs[0], shf - shf%2)
def test_est_snr_value(self, nframes):
s = signals.SignalWithPilots(16,
2**16,
128,
32,
nmodes=1,
nframes=nframes)
snr = s.est_snr()
assert snr[0] > 1e25
def test_evm_value(self, nframes):
s = signals.SignalWithPilots(16,
2**16,
128,
32,
nmodes=1,
nframes=nframes)
evm = s.cal_evm()
assert evm[0] < 1e-4
def test_ser_value(self, nframes):
s = signals.SignalWithPilots(16,
2**16,
128,
32,
nmodes=1,
nframes=nframes)
ser = s.cal_ser()
assert ser[0] == 0
def test_pilot_signal(self, dt, shift):
s = signals.SignalWithPilots(32, 2**12, 256, 32, dtype=dt)
if shift is not None:
s1 = np.roll(s, 120, axis=-1)
s3 = s1.get_data(np.array([shift]))
else:
s3 = s.get_data()
assert np.dtype(dt) is s3.dtype
assert np.dtype(dt) is s3.symbols.dtype
def test_nframes_calculation(self, nmodes, method, frames):
ss = signals.SignalWithPilots(64,
2**16,
1024,
32,
nframes=3,
nmodes=nmodes)
s2 = impairments.change_snr(ss, 20)
m = getattr(s2, method)(frames=frames)
print(m)
def test_pilot_signal(self, dt, nframes):
s = signals.SignalWithPilots(32,
2**12,
256,
32,
nframes=nframes,
dtype=dt)
assert np.dtype(dt) is s.dtype
assert np.dtype(dt) is s.symbols.dtype
assert np.dtype(dt) is s.pilots.dtype
def test_sync_frame_equalise(self, ntaps, shift):
s = signals.SignalWithPilots(128, 2**16, 512, 32, nframes=3, nmodes=1)
s = s.resample(2*s.fs, beta=0.1)
s = impairments.change_snr(s, 40)
s = np.roll(s, shift, axis=-1)
wx1, ret = s.sync2frame(Ntaps=ntaps, returntaps=True, adaptive_stepsize=True, mu=1e-2, method="cma", Niter=10)
ss = np.roll(s, -s.shiftfctrs[0], axis=-1)
so = core.equalisation.apply_filter(ss, ss.os, wx1)
npt.assert_array_equal(np.sign(so[0,:512].imag), np.sign(s.pilot_seq[0].imag))
npt.assert_array_equal(np.sign(so[0,:512].real), np.sign(s.pilot_seq[0].real))
def test_ber_value(self, nframes):
s = signals.SignalWithPilots(16,
2**16,
128,
32,
nmodes=1,
nframes=nframes)
s += 0.05 * (np.random.randn(2**16 * nframes) +
1.j * np.random.randn(2**16 * nframes))
ber = s.cal_ber()
assert ber[0] == 0
def test_framesync_noshift(self, snr):
sig = signals.SignalWithPilots(64,
2**16,
1024,
32,
nframes=2,
nmodes=2,
fb=20e9)
s2 = sig.resample(sig.fb * 2, beta=0.1)
s3 = impairments.simulate_transmission(s2, snr)
assert s3.sync2frame()
def test_pilot_based(self, rollframe, modal_delay, method):
from qampy import phaserec
mysig = signals.SignalWithPilots(64,2**16,2**10,32,nmodes=2,Mpilots=4,nframes=3,fb=24e9)
mysig2 = mysig.resample(mysig.fb*2,beta=0.01)
mysig3 = impairments.simulate_transmission(mysig2,snr=25,dgd=10e-12, freq_off=100e6,lwdth=100e3,roll_frame_sync=rollframe, modal_delay=modal_delay)
mysig3.sync2frame()
mysig3.corr_foe()
wxy, eq_sig = equalisation.pilot_equaliser(mysig3, (1e-3, 1e-3), 45, foe_comp=False, methods=method)
cpe_sig, ph = phaserec.pilot_cpe(eq_sig,N=5,use_seq=False)
gmi = np.mean(cpe_sig.cal_gmi()[0])
assert gmi > 5.5
def test_cpe(self,lw):
snr = 37
ntaps = 17
sig = signals.SignalWithPilots(64, 2**16, 1024, 32, nframes=3, nmodes=2, fb=24e9)
sig2 = sig.resample(2*sig.fb, beta=0.01, renormalise=True)
sig2 = impairments.apply_phase_noise(sig2, 100e3)
sig3 = impairments.change_snr(sig2, snr)
sig4 = sig3[:, 20000:]
sig4.sync2frame(corr_coarse_foe=False)
s1, s2 = equalisation.pilot_equalizer(sig4, [1e-3, 1e-3], ntaps, True, adaptive_stepsize=True, foe_comp=False)
d, ph = phaserec.pilot_cpe(s2, nframes=1)
assert np.mean(d.cal_ber()) < 1e-5
def test_realvalued_framesync(self, method):
# currently we do not support real-valued equalisers for frame-sync
sig = signals.SignalWithPilots(64,
2**16,
1024,
32,
nframes=2,
nmodes=2,
fb=20e9)
s2 = sig.resample(sig.fb * 2, beta=0.1)
with pytest.raises(ValueError):
s2.sync2frame(method=method)
def test_swap_pols(self):
snr = 30.
sig = signals.SignalWithPilots(64, 2**16, 1024, 32, nframes=3, nmodes=2, fb=24e9)
sig2 = sig.resample(2*sig.fb, beta=0.1, renormalise=True)
sig2 = impairments.change_snr(sig2, snr)
sig3 = sig2[::-1]
sig4 = sig3[:, 20000:]
sig4.sync2frame(corr_coarse_foe=False)
s1, s2 = equalisation.pilot_equalizer(sig4, [1e-3, 1e-3], 17, True, adaptive_stepsize=True, foe_comp=False)
ph = phaserec.find_pilot_const_phase(s2.extract_pilots()[:,:s2._pilot_seq_len], s2.pilot_seq)
s2 = phaserec.correct_pilot_const_phase(s2, ph)
ser = s2.cal_ser(synced=True)
assert np.mean(ser) < 1e-4
def test_cal_gmi_value(self, M, nframes, dtype):
s = signals.SignalWithPilots(M,
2**16,
128,
32,
nmodes=1,
nframes=nframes,
dtype=dtype)
s += (0.0004 * (np.random.randn(2**16 * nframes) +
1.j * np.random.randn(2**16 * nframes))).astype(dtype)
nbits = np.log2(M)
gmi, gmi_pb = s.cal_gmi()
npt.assert_almost_equal(gmi[0], nbits)
def test_cal_gmi_frames(self, frame):
M = 64
sig = signals.SignalWithPilots(M,
10**4 + 1000,
1000,
0,
nframes=3,
nmodes=1)
sig2 = impairments.change_snr(sig[:, :sig.frame_len], 25)
sig[0, frame * sig.frame_len:(frame + 1) * sig.frame_len] = sig2[:]
for i in range(3):
gmi = sig.cal_gmi(frames=[i])[0]
if i == frame:
assert np.isclose(gmi, sig2.cal_gmi()[0])
else:
assert np.isclose(gmi, np.log2(M))
def test_cal_ser_frames(self, frame):
sig = signals.SignalWithPilots(64,
10**4 + 1000,
1000,
0,
nframes=3,
nmodes=1)
sig[0, 1010 + frame * sig.frame_len] *= 1j
for i in range(3):
ser = sig.cal_ser(frames=[i])
if i == frame:
assert np.isclose(ser, 1 / 10**4)
else:
assert np.isclose(ser, 0)
ser = sig.cal_ser(frames=[0, 1, 2])
assert np.isclose(ser, 1 / (3 * 10**4))
def test_get_data2(self, nmodes, nframes):
N = 2**16
Nseq = 256
ph_i = 32
s = signals.SignalWithPilots(64,
N,
Nseq,
ph_i,
nframes=nframes,
nmodes=nmodes)
shifts = []
for i in range(nmodes):
sf = np.random.randint(0, 2**12)
shifts.append(sf)
s[i] = np.roll(s[i], sf)
npt.assert_array_almost_equal(s.get_data(shifts),
np.tile(s.symbols, nframes))
def test_est_snr_frames(self, frame):
M = 64
snr_in = 25.
sig = signals.SignalWithPilots(M,
10**4 + 1000,
1000,
0,
nframes=3,
nmodes=1)
sig2 = impairments.change_snr(sig[:, :sig.frame_len], snr_in)
sig[0, frame * sig.frame_len:(frame + 1) * sig.frame_len] = sig2[:]
for i in range(3):
snr = sig.est_snr(frames=[i])
if i == frame:
assert np.isclose(snr, 10**(snr_in / 10), rtol=0.03)
else:
assert np.all(snr > 10e15)
def test_cal_evm_frames(self, frame):
M = 64
sig = signals.SignalWithPilots(M,
10**4 + 1000,
1000,
0,
nframes=3,
nmodes=1)
dd = np.diff(np.unique(sig.coded_symbols.real)).min()
sig[0, 1010 + frame * sig.frame_len] += dd * 0.6
for i in range(3):
evm = sig.cal_evm(frames=[i])
if i == frame:
assert np.isclose(evm, 0.00185164) # calculated before
else:
assert np.isclose(evm, 0)
evm = sig.cal_evm(frames=[0, 1, 2])
assert np.isclose(evm, 0.00106904)
def test_data_mix_realandcomplexmethods(self, method):
# currently we do not support to mix real-valued and complex equaliser methods
sig = signals.SignalWithPilots(64,
2**16,
1024,
32,
nframes=2,
nmodes=2,
fb=20e9)
s2 = sig.resample(sig.fb * 2, beta=0.1)
s3 = impairments.simulate_transmission(s2,
25,
modal_delay=[10000, 10000])
s3.sync2frame()
with pytest.raises(ValueError):
equalisation.pilot_equaliser(s3, (1e-3, 1e-3),
11,
methods=(method, "sbd"))
def test_cal_ber_frames(self, frame):
M = 64
sig = signals.SignalWithPilots(M,
10**4 + 1000,
1000,
0,
nframes=3,
nmodes=1)
dd = np.diff(np.unique(sig.coded_symbols.real)).min()
sig[0, 1010 + frame * sig.frame_len] += dd * 0.8
for i in range(3):
ber = sig.cal_ber(frames=[i])
if i == frame:
assert np.isclose(ber, 1 / (np.log2(M) * 10**4))
else:
assert np.isclose(ber, 0)
ber = sig.cal_ber(frames=[0, 1, 2])
assert np.isclose(ber, 1 / (3 * np.log2(M) * 10**4))
def test_apply_filter_frames(self, frames, modal_delay):
Ntaps = 45
s = signals.SignalWithPilots(64,
2**16,
1024,
32,
nframes=4,
nmodes=2,
fb=24e9)
s2 = s.resample(2 * s.fb, beta=0.1, renormalise=True)
s3 = impairments.simulate_transmission(
s2, 30, modal_delay=[2000, 2000 + modal_delay])
s3.sync2frame(Ntaps=Ntaps - 14 * 2)
wx = equalisation.pilot_equaliser(s3,
1e-3,
Ntaps,
apply=False,
foe_comp=False)
sout = equalisation.apply_filter(s3, wx, frames=frames)
assert sout.shape[-1] == s.frame_len * len(frames)
for ber in sout.cal_ber():
assert ber < 1e-3
def test_pickle(self):
import tempfile
import pickle
dr = tempfile.TemporaryDirectory()
fp = open(dr.name + "/data.pic", "wb")
s = signals.SignalWithPilots(128, 2**16, 256, 32)
pickle.dump(s, fp)
fp.close()
fp2 = open(dr.name + "/data.pic", "rb")
s2 = pickle.load(fp2)
fp2.close()
dr.cleanup()
npt.assert_array_almost_equal(s, s2)
npt.assert_array_almost_equal(s.symbols, s2.symbols)
npt.assert_array_almost_equal(s.pilots, s2.pilots)
npt.assert_array_almost_equal(s.coded_symbols, s2.coded_symbols)
npt.assert_array_almost_equal(s.pilot_seq, s2.pilot_seq)
npt.assert_array_almost_equal(s.ph_pilots, s2.ph_pilots)
npt.assert_array_almost_equal(s.get_data(), s2.get_data())
assert s.fb == s2.fb
assert s.fs == s2.fs
assert s.M == s2.M
assert s.pilot_scale == s2.pilot_scale
assert s.nframes == s2.nframes
def test_too_short_frame(self):
with pytest.raises(AssertionError):
ss = signals.SignalWithPilots(64, 2**16, 1024, 32, nframes=3)
oo = np.copy(ss)
out = ss.recreate_from_np_array(oo[:,:int(ss.frame_len/2)])
def test_recreate_nframes(self, nlen):
ss = signals.SignalWithPilots(64, 2**16, 1024, 32, nframes=3)
oo = np.copy(ss)
oo1 = np.tile(oo, (1, int((nlen*ss.frame_len)//ss.frame_len)))
oo2 = np.hstack([oo1, oo[:, :oo.shape[-1]*int(nlen%ss.frame_len)] ])
out = ss.recreate_from_np_array(oo2)
