# Copyright (c) IMToolkit Development Team
# This toolkit is released under the MIT License, see LICENSE.txt
import unittest
import numpy as np
from imtoolkit.Util import getMinimumEuclideanDistance
from imtoolkit.Modulator import Modulator
[docs]class ModulatorTest(unittest.TestCase):
[docs] def test_PSK(self):
for L in 2 ** np.arange(1, 8, 1):
mod = Modulator("PSK", L)
meanNorm = np.mean(np.square(np.abs(mod.symbols)))
self.assertAlmostEqual(meanNorm, 1.0, msg = "The mean power of PSK(" + str(L) + ") symbols differs from 1.0")
med = getMinimumEuclideanDistance(mod.symbols.reshape(L, 1, 1))
self.assertGreater(med, 0, msg = "The minimum Euclidean distance of PSK(" + str(L) + ") symbols is too small")
[docs] def test_QAM(self):
for L in 2 ** np.arange(2, 8, 2):
mod = Modulator("QAM", L)
meanNorm = np.mean(np.square(np.abs(mod.symbols)))
self.assertAlmostEqual(meanNorm, 1.0, msg = "The mean power of QAM(" + str(L) + ") symbols differs from 1.0")
med = getMinimumEuclideanDistance(mod.symbols.reshape(L, 1, 1))
self.assertGreater(med, 0, msg = "The minimum Euclidean distance of QAM(" + str(L) + ") symbols is too small")
[docs] def test_StarQAM(self):
for L in 2 ** np.arange(1, 8, 1):
mod = Modulator("StarQAM", L)
meanNorm = np.mean(np.square(np.abs(mod.symbols)))
self.assertAlmostEqual(meanNorm, 1.0, msg = "The mean power of StarQAM(" + str(L) + ") symbols differs from 1.0")
med = getMinimumEuclideanDistance(mod.symbols.reshape(L, 1, 1))
self.assertGreater(med, 0, msg = "The minimum Euclidean distance of StarQAM(" + str(L) + ") symbols is too small")
if __name__ == '__main__':
unittest.main()
