def test_001_t(self):
n_frames = 20
timeslots = 9
subcarriers = 128
active_subcarriers = 110
cp_len = subcarriers // 2
smap = get_subcarrier_map(subcarriers, active_subcarriers)
seed = 4711
ftype = 'rrc'
falpha = .5
preamble, x_preamble = mapped_preamble(seed, ftype, falpha,
active_subcarriers, subcarriers,
smap, 2, cp_len, cp_len // 2)
frame_len = len(preamble) + timeslots * subcarriers + cp_len
frame_gap = np.zeros(frame_len, dtype=np.complex)
data = frame_gap
ref = np.array([], dtype=np.complex)
for i in range(n_frames):
d_block = modulate_mapped_gfdm_block(
get_random_qpsk(timeslots * active_subcarriers), timeslots,
subcarriers, active_subcarriers, 2, falpha)
frame = pinch_cp_add_block(d_block, timeslots, subcarriers, cp_len,
cp_len // 2)
frame = np.concatenate((preamble, frame))
ref = np.concatenate((ref, frame))
data = np.concatenate((data, frame, frame_gap))
# print np.sum(np.abs(x_preamble) ** 2)
# import matplotlib.pyplot as plt
# plt.plot(data.real)
# plt.plot(data.imag)
# plt.show()
backoff = 80
src = blocks.vector_source_c(data)
e_detector = gfdm.frame_energy_detector_cc(10., 32, frame_len, backoff,
'energy')
detector = gfdm.simple_preamble_sync_cc(frame_len, subcarriers, cp_len,
x_preamble, 'energy', 'frame')
snk = blocks.vector_sink_c()
self.tb.connect(src, e_detector, detector, snk)
self.tb.run()
# check data
res = np.array(snk.data())
tags = snk.tags()
for t in tags:
print 'srcid {}, key {}, offset {}, value {}'.format(
t.srcid, t.key, t.offset, t.value)
self.assertComplexTuplesAlmostEqual(res, ref[0:len(res)], 5)
def test_001_t(self):
n_frames = 20
timeslots = 9
subcarriers = 128
active_subcarriers = 110
cp_len = subcarriers // 2
smap = get_subcarrier_map(subcarriers, active_subcarriers)
seed = 4711
ftype = 'rrc'
falpha = .5
tag_key = 'frame_start'
preamble, x_preamble = mapped_preamble(seed, ftype, falpha,
active_subcarriers, subcarriers,
smap, 2, cp_len, cp_len // 2)
block_len = timeslots * subcarriers
offset = len(preamble) + cp_len
frame_len = len(preamble) + timeslots * subcarriers + cp_len
data = np.array([], dtype=np.complex)
ref = np.array([], dtype=np.complex)
tags = []
print 'frame_len: ', frame_len
for i in range(n_frames):
d_block = modulate_mapped_gfdm_block(
get_random_qpsk(timeslots * active_subcarriers), timeslots,
subcarriers, active_subcarriers, 2, falpha)
frame = pinch_cp_add_block(d_block, timeslots, subcarriers, cp_len,
cp_len // 2)
frame = np.concatenate((preamble, frame))
r = frame[offset:offset + block_len]
ref = np.concatenate((ref, r))
tag = gr.tag_t()
tag.key = pmt.string_to_symbol(tag_key)
tag.offset = len(data)
tag.srcid = pmt.string_to_symbol('qa')
tag.value = pmt.from_long(block_len)
tags.append(tag)
data = np.concatenate((data, frame))
src = blocks.vector_source_c(data, False, 1, tags)
cp_rm = gfdm.remove_prefix_cc(frame_len, block_len, offset, tag_key)
snk = blocks.vector_sink_c()
self.tb.connect(src, cp_rm, snk)
self.tb.run()
# # check data
res = np.array(snk.data())
tags = snk.tags()
self.assertTrue(len(tags) == 0) # propagation policy is TPP_DONT
self.assertComplexTuplesAlmostEqual(res, ref, 5)
def test_001_t(self):
n_frames = 20
timeslots = 9
subcarriers = 128
active_subcarriers = 110
cp_len = subcarriers // 2
smap = get_subcarrier_map(subcarriers, active_subcarriers)
seed = 4711
ftype = 'rrc'
falpha = .5
tag_key = 'frame_start'
preamble, x_preamble = mapped_preamble(seed, ftype, falpha, active_subcarriers, subcarriers, smap, 2, cp_len, cp_len // 2)
block_len = timeslots * subcarriers
offset = len(preamble) + cp_len
frame_len = len(preamble) + timeslots * subcarriers + cp_len
data = np.array([], dtype=np.complex)
ref = np.array([], dtype=np.complex)
tags = []
print 'frame_len: ', frame_len
for i in range(n_frames):
d_block = modulate_mapped_gfdm_block(get_random_qpsk(timeslots * active_subcarriers), timeslots, subcarriers, active_subcarriers, 2, falpha)
frame = pinch_cp_add_block(d_block, timeslots, subcarriers, cp_len, cp_len // 2)
frame = np.concatenate((preamble, frame))
r = frame[offset:offset + block_len]
ref = np.concatenate((ref, r))
tag = gr.tag_t()
tag.key = pmt.string_to_symbol(tag_key)
tag.offset = len(data)
tag.srcid = pmt.string_to_symbol('qa')
tag.value = pmt.from_long(block_len)
tags.append(tag)
data = np.concatenate((data, frame))
src = blocks.vector_source_c(data, False, 1, tags)
cp_rm = gfdm.remove_prefix_cc(frame_len, block_len, offset, tag_key)
snk = blocks.vector_sink_c()
self.tb.connect(src, cp_rm, snk)
self.tb.run()
# # check data
res = np.array(snk.data())
tags = snk.tags()
self.assertTrue(len(tags) == 0) # propagation policy is TPP_DONT
self.assertComplexTuplesAlmostEqual(res, ref, 5)
def test_001_t(self):
n_frames = 20
timeslots = 9
subcarriers = 128
active_subcarriers = 110
cp_len = subcarriers // 2
smap = get_subcarrier_map(subcarriers, active_subcarriers)
seed = 4711
ftype = 'rrc'
falpha = .5
preamble, x_preamble = mapped_preamble(seed, ftype, falpha, active_subcarriers, subcarriers, smap, 2, cp_len, cp_len // 2)
frame_len = len(preamble) + timeslots * subcarriers + cp_len
frame_gap = np.zeros(frame_len, dtype=np.complex)
data = frame_gap
ref = np.array([], dtype=np.complex)
for i in range(n_frames):
d_block = modulate_mapped_gfdm_block(get_random_qpsk(timeslots * active_subcarriers), timeslots, subcarriers, active_subcarriers, 2, falpha)
frame = pinch_cp_add_block(d_block, timeslots, subcarriers, cp_len, cp_len // 2)
frame = np.concatenate((preamble, frame))
ref = np.concatenate((ref, frame))
data = np.concatenate((data, frame, frame_gap))
# print np.sum(np.abs(x_preamble) ** 2)
# import matplotlib.pyplot as plt
# plt.plot(data.real)
# plt.plot(data.imag)
# plt.show()
backoff = 80
src = blocks.vector_source_c(data)
e_detector = gfdm.frame_energy_detector_cc(10., 32, frame_len, backoff, 'energy')
detector = gfdm.simple_preamble_sync_cc(frame_len, subcarriers, cp_len, x_preamble, 'energy', 'frame')
snk = blocks.vector_sink_c()
self.tb.connect(src, e_detector, detector, snk)
self.tb.run()
# check data
res = np.array(snk.data())
tags = snk.tags()
for t in tags:
print 'srcid {}, key {}, offset {}, value {}'.format(t.srcid, t.key, t.offset, t.value)
self.assertComplexTuplesAlmostEqual(res, ref[0:len(res)], 5)