def setUp(self):
"""Called before each test."""
self.alamouti_object = Alamouti()
class AlamoutiTestCase(unittest.TestCase):
"""Unittests for the Alamouti class in the mimo module.
"""
def setUp(self):
"""Called before each test."""
self.alamouti_object = Alamouti()
def test_getNumberOfLayers(self):
# The number of layers in the Alamouti scheme is always equal to
# one.
self.assertEqual(self.alamouti_object.getNumberOfLayers(), 1)
def test_set_channel_matrix(self):
self.alamouti_object.set_channel_matrix(randn_c(2))
self.assertEqual(self.alamouti_object.Nt, 2)
self.assertEqual(self.alamouti_object.Nr, 1)
self.alamouti_object.set_channel_matrix(randn_c(4, 2))
self.assertEqual(self.alamouti_object.Nt, 2)
self.assertEqual(self.alamouti_object.Nr, 4)
with self.assertRaises(ValueError):
self.alamouti_object.set_channel_matrix(randn_c(4, 3))
def test_encode(self):
data = np.r_[0:16] + np.r_[0:16] * 1j
expected_encoded_data = np.array(
[[0 + 0j, -1 + 1j, 2 + 2j, -3 + 3j, 4 + 4j, -5 + 5j, 6 + 6j,
-7 + 7j, 8 + 8j, -9 + 9j, 10 + 10j, -11 + 11j, 12 + 12j,
-13 + 13j, 14 + 14j, -15 + 15j],
[1 + 1j, 0 - 0j, 3 + 3j, 2 - 2j, 5 + 5j, 4 - 4j, 7 + 7j,
6 - 6j, 9 + 9j, 8 - 8j, 11 + 11j, 10 - 10j, 13 + 13j, 12 - 12j,
15 + 15j, 14 - 14j]]
) / np.sqrt(2)
np.testing.assert_array_almost_equal(
self.alamouti_object.encode(data),
expected_encoded_data)
def test_decode(self):
data = np.r_[0:16] + np.r_[0:16] * 1j
encoded_data = self.alamouti_object.encode(data)
# We will test the deconding with a random channel
channel = randn_c(3, 2)
self.alamouti_object.set_channel_matrix(channel)
received_data = np.dot(channel, encoded_data)
decoded_data = self.alamouti_object.decode(received_data)
np.testing.assert_array_almost_equal(decoded_data, data)
def test_calc_post_processing_SINRs(self):
Nr = 1
Nt = 2
noise_var = 0.01
channel = randn_c(Nr, Nt)
self.alamouti_object.set_channel_matrix(channel)
# W = self.alamouti_object._calc_precoder(channel)
# G_H = self.alamouti_object._calc_receive_filter(channel, noise_var)
expected_sinrs = linear2dB(
(np.linalg.norm(channel, 'fro')**2)/noise_var)
# Calculate the SINR using method in the Alamouti class. Note that
# we only need to pass the noise variance, since the mimo object
# knows the channel.
sinrs = self.alamouti_object.calc_SINRs(noise_var)
np.testing.assert_array_almost_equal(sinrs, expected_sinrs, 2)
