def test_050_weak_interferer(self):
print("test_050_weak_interferer")
Pi_dB = -3
phi_u = 6.6
sto_frac_u = 0.49
sto_int_u = 48
S = [0, 64, 32, 96, 0, 64, 24, 100] * 4
x_i = lora.gen_syms(SF, S, R=R)[:int(N * R * 15.25)]
n_pad = sto_int_u * R + int(sto_frac_u * R)
x_u = np.concatenate([
np.zeros(n_pad),
lora.gen_preamble(SF, R=R, sto_frac=np.mod(sto_frac_u, 1.0 / R)),
np.zeros(3 * N * R - n_pad)
])
P_i = 10**(Pi_dB / 10.0)
x = lora.add_cfo(SF, x_u, phi_u, R=R) + np.sqrt(P_i) * x_i
y, detects = self._feed_detector(x)
self.assertEqual(len(detects), 1)
d = detects[0]
cfo_int = np.round(phi_u).astype(int)
residual_int = ((d.value['sto_int'] + d.value['cfo_int']) -
(sto_int_u + cfo_int) - N / 4) % N
self.assertIn(residual_int, (N - 1, 0, 1))
self.assertAlmostEqual(d.value['cfo_frac'], phi_u - cfo_int, places=1)
self.assertAlmostEqual(d.value['sto_frac'], round_sto(sto_frac_u))
def test_002_simple_preamble(self):
print("test_002_simple_preamble")
x = np.concatenate([lora.gen_preamble(SF, R=R), np.zeros(3 * N * R)])
y, detects = self._feed_detector(x)
self.assertEqual(len(detects), 1)
d = detects[0]
self.assertFloatTuplesAlmostEqual(x[0:N], y[BUFFER_LEN:BUFFER_LEN + N])
self.assertEqual(d.offset, BUFFER_LEN)
self.assertEqual(d.value['sto_int'], (BUFFER_LEN / R) % N)
self.assertEqual(d.value['cfo_int'], 0)
self.assertAlmostEqual(d.value['sto_frac'], 0)
self.assertAlmostEqual(d.value['cfo_frac'], 0)
self.assertAlmostEqual(d.value['power'], 1, places=6)
def test_040_unit_power(self):
print("test_040_unit_power")
phi = 0.3
P = 1
x = np.concatenate([lora.gen_preamble(SF, R=R), np.zeros(3 * N * R)])
x = lora.add_cfo(SF, x, phi, R=R)
y, detects = self._feed_detector(x)
self.assertEqual(len(detects), 1)
d = detects[0]
self.assertEqual(d.offset, BUFFER_LEN)
self.assertAlmostEqual(d.value['cfo_frac'], phi)
self.assertAlmostEqual(d.value['power'], P, places=6)
def test_022_cfo_int_frac(self):
print("test_022_cfo_int_frac")
phi = -3.42
x = np.concatenate([lora.gen_preamble(SF, R=R), np.zeros(3 * N * R)])
x = lora.add_cfo(SF, x, phi, R=R)
y, detects = self._feed_detector(x)
self.assertEqual(len(detects), 1)
d = detects[0]
self.assertEqual(d.value['sto_int'], (BUFFER_LEN / R) % N)
self.assertEqual(d.value['cfo_int'], -3)
self.assertAlmostEqual(d.value['sto_frac'], 0)
self.assertAlmostEqual(d.value['cfo_frac'], -0.42, places=2)
self.assertAlmostEqual(d.value['power'], 1, places=1)
def test_042_strong_power(self):
print("test_042_strong_power")
P_dB = 3
phi = 0.3
P = 10**(P_dB / 10.0)
x = np.concatenate([lora.gen_preamble(SF, R=R), np.zeros(3 * N * R)])
x = np.sqrt(P) * lora.add_cfo(SF, x, phi, R=R)
y, detects = self._feed_detector(x)
self.assertEqual(len(detects), 1)
d = detects[0]
self.assertEqual(d.offset, BUFFER_LEN)
self.assertAlmostEqual(d.value['cfo_frac'], phi)
self.assertAlmostEqual(d.value['power'], P, places=4)
def test_013_sto_frac_high(self):
print("test_013_sto_frac_high")
sto_frac = 0.68
x = np.concatenate([[0] * int(sto_frac * R),
lora.gen_preamble(SF,
R=R,
sto_frac=np.mod(
sto_frac, 1.0 / R)),
np.zeros(3 * N * R)])
y, detects = self._feed_detector(x)
self.assertEqual(len(detects), 1)
d = detects[0]
self.assertAlmostEqual(d.value['sto_frac'], round_sto(sto_frac))
self.assertAlmostEqual(d.value['cfo_frac'], 0)
def test_010_sto_int_intrasym(self):
print("test_010_sto_int_intrasym")
M = 5
x = np.concatenate(
[np.zeros(M * R),
lora.gen_preamble(SF, R=R),
np.zeros(3 * N * R)])
y, detects = self._feed_detector(x)
self.assertEqual(len(detects), 1)
d = detects[0]
k = BUFFER_LEN + M * R
self.assertEqual(d.offset, k)
self.assertEqual(d.value['sto_int'], (k / R) % N)
self.assertEqual(d.value['cfo_int'], 0)
self.assertAlmostEqual(d.value['sto_frac'], 0)
self.assertAlmostEqual(d.value['cfo_frac'], 0)
def test_014_cfo_int(self):
print("test_014_cfo_int")
L_CFO = 30.0
x = np.concatenate([lora.gen_preamble(SF, R=R), np.zeros(3 * N * R)])
x = lora.add_cfo(SF, x, L_CFO, R=R)
y, detects = self._feed_detector(x)
self.assertEqual(len(detects), 1)
d = detects[0]
k = BUFFER_LEN
self.assertEqual(d.offset, k)
self.assertEqual(d.value['sto_int'], (k / R) % N)
self.assertEqual(d.value['cfo_int'], L_CFO)
self.assertAlmostEqual(d.value['sto_frac'], 0)
self.assertAlmostEqual(d.value['cfo_frac'], 0, places=5)
def _test_cfo_sto(self, CFO, STO):
CFO_int = np.round(CFO).astype(int)
CFO_frac = CFO - CFO_int
STO_int = np.floor(STO).astype(int)
STO_frac = STO - STO_int
x = np.concatenate([
np.zeros(STO_int * R + int(STO_frac * R)),
lora.gen_preamble(SF, R=R, sto_frac=np.mod(STO_frac, 1.0 / R)),
np.zeros(3 * N * R)
])
x = lora.add_cfo(SF, x, CFO, R=R)
y, detects = self._feed_detector(x)
self.assertEqual(len(detects), 1)
d = detects[0]
residual_int = ((d.value['sto_int'] + d.value['cfo_int']) -
(STO_int + CFO_int) - N / 4) % N
self.assertIn(residual_int, (N - 1, 0, 1))
self.assertAlmostEqual(d.value['cfo_frac'], CFO_frac, places=3)
self.assertAlmostEqual(d.value['sto_frac'], round_sto(STO_frac))
