def setUp(self):
# Radar and states generation
self.setUp_radars_states()
# Filter definition
self.filter = MultipleRadarsFilterTA
# Process noise finder definition
self.process_noise_finder = NoiseFinderMultipleRadars(radars = self.radars,
states = self.states,
filter = self.filter)
# Reduction of the actual list for testing purposes
self.process_noise_finder.TO_TEST = [1.,2.,3.,4.,5.]
print('=================================================================')
print('=========================== ' + name +
'-1 Radar ==========================')
noise_finder = NoiseFinder1Radar(radar1, states, filter, nb_iterations=3)
noise_finder.launch_benchmark()
best_value = noise_finder.best_value()
print(('Best value for ' + name + '-1Radar:{0}').format(best_value))
writer.write_row(name + '-1Radar', str(best_value))
for filter in FILTERS_2_RADARS:
name = filter.__name__[-2:]
print('=================================================================')
print('=========================== ' + name +
'-2 Radars =========================')
noise_finder = NoiseFinderMultipleRadars(radars,
states,
filter,
nb_iterations=3)
noise_finder.launch_benchmark()
best_value = noise_finder.best_value()
print(('Best value for ' + name + '-2Radars:{0}').format(best_value))
writer.write_row(name + '-2Radars', str(best_value))
for filter in FILTERS_2_FRADARS:
name = filter.__name__[-2:]
print('=================================================================')
print('========================== ' + name +
'-2 PRadars =========================')
noise_finder = NoiseFinderMultipleRadars(fradars,
states,
filter,
nb_iterations=3)