def main():
my_set = {
'active_subcarriers': 110,
'frame_symbols': 4096,
'fft_len': 128,
'frame_time_symbols': 38,
'cp_len': 6
}
n_subcarriers = my_set['fft_len']
n_timeslots = my_set['frame_time_symbols']
overlap = 2
taps = np.array([
1,
] * n_timeslots * overlap, dtype=np.complex)
kernel = gfdm.py_modulator_kernel_cc(n_timeslots, n_subcarriers, overlap,
taps)
print(kernel.block_size())
syms = map_to_waveform_resources(
get_random_qpsk(my_set['frame_symbols']),
np.arange(my_set['active_subcarriers']) + 9,
my_set['active_subcarriers'], my_set['fft_len'])
frame = kernel.modulate(syms)
plot_waterfall(frame, 128)
plt.show()
def modulator_test():
fft_len = 128
timeslots = 205
overlap = 2
taps = get_frequency_domain_filter('rrc', .5, timeslots, fft_len, overlap)
kernel = cgfdm.py_modulator_kernel_cc(timeslots, fft_len, overlap, taps)
N = 10
for i in range(N):
data = np.random.randn(2, fft_len * timeslots)
data = data[0] + 1j * data[1]
data = data.astype(dtype=np.complex64)
kernel.modulate(data)
def modulator_test():
fft_len = 128
timeslots = 205
overlap = 2
taps = get_frequency_domain_filter('rrc', .5, timeslots, fft_len, overlap)
kernel = cgfdm.py_modulator_kernel_cc(timeslots, fft_len, overlap, taps)
N = 10
for i in range(N):
data = np.random.randn(2, fft_len * timeslots)
data = data[0] + 1j * data[1]
data = data.astype(dtype=np.complex64)
kernel.modulate(data)
def modulate_gfdm_frame(tx_symbols, params):
mapper = cgfdm.py_resource_mapper_kernel_cc(params['timeslots'], params['fft_len'], params['active_subcarriers'],
params['subcarrier_map'])
taps = get_frequency_domain_filter(params['prototype_type'], params['prototype_alpha'], params['timeslots'],
params['fft_len'], params['overlap'])
kernel = cgfdm.py_modulator_kernel_cc(params['timeslots'], params['fft_len'], params['overlap'], taps)
win_filt = get_raised_cosine_ramp(params['filter_len'], params['timeslots'] * params['fft_len'] + params['cp_len'])
cpler = cgfdm.py_add_cyclic_prefix_cc(params['timeslots'] * params['fft_len'], params['cp_len'], params['filter_len'],
win_filt)
syms = mapper.map_to_resources(tx_symbols)
frame = kernel.modulate(syms.flatten())
frame = cpler.add_cyclic_prefix(frame)
return frame
def modulate_gfdm_frame(tx_symbols, params):
mapper = cgfdm.py_resource_mapper_kernel_cc(params['timeslots'], params['fft_len'], params['active_subcarriers'],
params['subcarrier_map'])
taps = get_frequency_domain_filter(params['prototype_type'], params['prototype_alpha'], params['timeslots'],
params['fft_len'], params['overlap'])
kernel = cgfdm.py_modulator_kernel_cc(params['timeslots'], params['fft_len'], params['overlap'], taps)
win_filt = get_raised_cosine_ramp(params['filter_len'], params['timeslots'] * params['fft_len'] + params['cp_len'])
cpler = cgfdm.py_add_cyclic_prefix_cc(params['timeslots'] * params['fft_len'], params['cp_len'], params['filter_len'],
win_filt)
syms = mapper.map_to_resources(tx_symbols)
frame = kernel.modulate(syms.flatten())
frame = cpler.add_cyclic_prefix(frame)
return frame
def main():
my_set = {'active_subcarriers': 110, 'frame_symbols': 4096, 'fft_len': 128, 'frame_time_symbols': 38, 'cp_len': 6}
n_subcarriers = my_set['fft_len']
n_timeslots = my_set['frame_time_symbols']
overlap = 2
taps = np.array([1, ] * n_timeslots * overlap, dtype=np.complex)
kernel = gfdm.py_modulator_kernel_cc(n_timeslots, n_subcarriers, overlap, taps)
print(kernel.block_size())
syms = map_to_waveform_resources(get_random_qpsk(my_set['frame_symbols']), np.arange(my_set['active_subcarriers']) + 9, my_set['active_subcarriers'], my_set['fft_len'])
frame = kernel.modulate(syms)
plot_waterfall(frame, 128)
plt.show()