def test_002_t(self):
print "test_002_t BEGIN"
N_rb_dl = self.N_rb_dl
subcarriers = self.subcarriers
N_ofdm_symbols = self.N_ofdm_symbols
tag_key = self.tag_key
msg_buf_name = self.msg_buf_name
cell_id = 124
Ncp = 1
N_ant = 2
style = "tx_diversity"
sfn = 0
srcid = "source"
print "get and set data"
stream = self.get_data_stream(N_ant, cell_id, style, N_rb_dl, sfn,
subcarriers)
data_len = len(stream) / subcarriers
tag_list = lte_test.get_tag_list(data_len, N_ofdm_symbols, tag_key,
srcid)
self.src.set_data(stream, tag_list)
print "get and set pilot map"
[rs_pos_frame, rs_val_frame
] = lte_test.frame_pilot_value_and_position(N_rb_dl, cell_id, Ncp, 0)
self.estimator.set_pilot_map(rs_pos_frame, rs_val_frame)
print "pilot Map set"
self.tb.run()
# check data
#print pmt.pmt_symbol_to_string(tag_list[0].key)
expected = np.ones((subcarriers, ), dtype=np.complex)
res = self.snk.data()
failed = 0
first_failed = -1
for i in range(len(res) / subcarriers):
#print i
vec = res[i * subcarriers:(i + 1) * subcarriers]
try:
self.assertComplexTuplesAlmostEqual(vec, expected, 5)
#print "success"
except:
print str(i) + "\tfail"
print vec[0:20]
first_failed = i
#print vec
failed = failed + 1
print "failed vectors: " + str(failed)
if first_failed > -1:
i = first_failed
vec = res[i * subcarriers:(i + 1) * subcarriers]
self.assertComplexTuplesAlmostEqual(vec, expected, 5)
print "test_002_t END\n\n"
def test_001_set_pilot_map(self):
print "test_001_set_pilot_map BEGIN"
N_rb_dl = self.N_rb_dl
cell_id = 124
Ncp = 1
[rs_pos_frame, rs_val_frame] = lte_test.frame_pilot_value_and_position(N_rb_dl, cell_id, Ncp, 0)
self.estimator.set_pilot_map(rs_pos_frame, rs_val_frame)
res_carriers = self.estimator.get_pilot_carriers()
for i in range(len(res_carriers)):
self.assertEqual(res_carriers[i], tuple(rs_pos_frame[i]) )
print "test_001_set_pilot_map END"
def test_001_set_pilot_map(self):
print "test_001_set_pilot_map BEGIN"
N_rb_dl = self.N_rb_dl
cell_id = 124
Ncp = 1
[rs_pos_frame, rs_val_frame
] = lte_test.frame_pilot_value_and_position(N_rb_dl, cell_id, Ncp, 0)
self.estimator.set_pilot_map(rs_pos_frame, rs_val_frame)
res_carriers = self.estimator.get_pilot_carriers()
for i in range(len(res_carriers)):
self.assertEqual(res_carriers[i], tuple(rs_pos_frame[i]))
print "test_001_set_pilot_map END"
def test_002_t (self):
print "test_002_t BEGIN"
N_rb_dl = self.N_rb_dl
subcarriers = self.subcarriers
N_ofdm_symbols = self.N_ofdm_symbols
tag_key = self.tag_key
msg_buf_name = self.msg_buf_name
cell_id = 124
Ncp = 1
N_ant = 2
style= "tx_diversity"
sfn = 0
srcid = "source"
print "get and set data"
stream = self.get_data_stream(N_ant, cell_id, style, N_rb_dl, sfn, subcarriers)
data_len = len(stream)/subcarriers
tag_list = lte_test.get_tag_list(data_len, N_ofdm_symbols, tag_key, srcid)
self.src.set_data(stream, tag_list)
print "get and set pilot map"
[rs_pos_frame, rs_val_frame] = lte_test.frame_pilot_value_and_position(N_rb_dl, cell_id, Ncp, 0)
self.estimator.set_pilot_map(rs_pos_frame, rs_val_frame)
print "pilot Map set"
self.tb.run ()
# check data
#print pmt.pmt_symbol_to_string(tag_list[0].key)
expected = np.ones((subcarriers,), dtype=np.complex)
res = self.snk.data()
failed = 0
first_failed = -1
for i in range(len(res)/subcarriers):
#print i
vec = res[i*subcarriers:(i+1)*subcarriers]
try:
self.assertComplexTuplesAlmostEqual(vec, expected, 5)
#print "success"
except:
print str(i) + "\tfail"
print vec[0:20]
first_failed = i
#print vec
failed = failed +1
print "failed vectors: " + str(failed)
if first_failed > -1:
i = first_failed
vec = res[i*subcarriers:(i+1)*subcarriers]
self.assertComplexTuplesAlmostEqual(vec, expected, 5)
print "test_002_t END\n\n"
