def setUp (self):
self.tb = gr.top_block ()
############################
# define variables for test purposes
self.fftl = fftl = 2048
N_rb_dl = 6
self.N_id = N_id = 124
N_id_1 = N_id/3
N_id_2 = N_id%3
# This blocks are needed as "dummy" references
self.tag = lte_swig.sss_tagging2_vcvc(fftl)
self.eq = lte_swig.linear_OFDM_estimator_vcvc(N_rb_dl)
self.demux = lte_swig.pbch_demux_vcvc(N_rb_dl)
self.descr = lte_swig.descrambling_vfvf()
self.daemon = lte_swig.cell_id_daemon(self.eq, self.demux, self.descr)
#Source
data = range(2*fftl)
self.src = gr.vector_source_c(data, False, fftl)
# UUT
self.calc = lte_swig.sss_calc2_vc(self.tag, self.daemon, fftl)
self.tb.connect(self.src, self.calc)
def setUp(self):
self.tb = gr.top_block()
N_rb_dl = 6
self.eq = lte_swig.linear_OFDM_estimator_vcvc(N_rb_dl)
self.demux = lte_swig.pbch_demux_vcvc(N_rb_dl)
self.ld = lte_swig.descrambling_vfvf()
self.daemon = lte_swig.cell_id_daemon(self.eq, self.demux, self.ld)
self.daemon.set_cell_id(124)
def setUp (self):
self.tb = gr.top_block ()
N_rb_dl = 6
self.eq = lte_swig.linear_OFDM_estimator_vcvc(N_rb_dl)
self.demux= lte_swig.pbch_demux_vcvc(N_rb_dl)
self.ld = lte_swig.descrambling_vfvf()
self.daemon = lte_swig.cell_id_daemon(self.eq,self.demux,self.ld)
self.daemon.set_cell_id(124)
def setUp(self):
self.tb = gr.top_block()
N_rb_dl = 6
self.eq = lte_swig.linear_OFDM_estimator_vcvc(N_rb_dl)
self.demux = lte_swig.pbch_demux_vcvc(N_rb_dl)
self.ld = lte_swig.descrambling_vfvf()
self.daemon = lte_swig.cell_id_daemon(self.eq, self.demux, self.ld)
self.dbg = gr.message_debug()
self.tb.msg_connect(self.daemon, "cell_id", self.dbg, "print")
def setUp (self):
print os.getpid()
raw_input("Press the ANY key to continue")
self.tb = gr.top_block ()
print "\nqa_lte_linear_OFDM_estimator_vcvc START"
# Input 1, PBCH frame
mod=scipy.io.loadmat('/home/demel/exchange/matlab_frame.mat')
mat_u1=tuple(mod['frame_mat'].flatten())
mat_d=range(len(mat_u1))
for idx, val in enumerate(mat_u1):
mat_d[idx]=val
intu1o=tuple(mat_d)
intu1=intu1o[0:140*72]
#intu1=intu1[72*126:140*72]
self.intu1=intu1
print "len(intu1) = " + str(len(intu1))
self.src = gr.vector_source_c( intu1, True, 72)
cell_id = 124
N_rb_dl = 6
self.eq = lte_swig.linear_OFDM_estimator_vcvc(N_rb_dl) #cell_id,
self.eq.set_cell_id(cell_id)
self.sh1 = gr.skiphead(gr.sizeof_gr_complex*12*N_rb_dl,7)
self.sh2 = gr.skiphead(gr.sizeof_gr_complex*12*N_rb_dl,7)
self.sh3 = gr.skiphead(gr.sizeof_gr_complex*12*N_rb_dl,7)
self.hd1 = gr.head(gr.sizeof_gr_complex*12*N_rb_dl,280)
self.hd2 = gr.head(gr.sizeof_gr_complex*12*N_rb_dl,280)
self.hd3 = gr.head(gr.sizeof_gr_complex*12*N_rb_dl,280)
self.snk1 = gr.vector_sink_c(72)
self.snk2 = gr.vector_sink_c(72)
self.snk3 = gr.vector_sink_c(72)
self.tb.connect(self.src,self.eq)
self.tb.connect( (self.eq,0) ,self.sh1,self.hd1,self.snk1)
self.tb.connect( (self.eq,1) ,self.sh2,self.hd2,self.snk2)
self.tb.connect( (self.eq,2) ,self.sh3,self.hd3,self.snk3)
def setUp(self):
print os.getpid()
raw_input("Press the ANY key to continue")
self.tb = gr.top_block()
print "\nqa_lte_linear_OFDM_estimator_vcvc START"
# Input 1, PBCH frame
mod = scipy.io.loadmat('/home/demel/exchange/matlab_frame.mat')
mat_u1 = tuple(mod['frame_mat'].flatten())
mat_d = range(len(mat_u1))
for idx, val in enumerate(mat_u1):
mat_d[idx] = val
intu1o = tuple(mat_d)
intu1 = intu1o[0:140 * 72]
#intu1=intu1[72*126:140*72]
self.intu1 = intu1
print "len(intu1) = " + str(len(intu1))
self.src = gr.vector_source_c(intu1, True, 72)
cell_id = 124
N_rb_dl = 6
self.eq = lte_swig.linear_OFDM_estimator_vcvc(N_rb_dl) #cell_id,
self.eq.set_cell_id(cell_id)
self.sh1 = gr.skiphead(gr.sizeof_gr_complex * 12 * N_rb_dl, 7)
self.sh2 = gr.skiphead(gr.sizeof_gr_complex * 12 * N_rb_dl, 7)
self.sh3 = gr.skiphead(gr.sizeof_gr_complex * 12 * N_rb_dl, 7)
self.hd1 = gr.head(gr.sizeof_gr_complex * 12 * N_rb_dl, 280)
self.hd2 = gr.head(gr.sizeof_gr_complex * 12 * N_rb_dl, 280)
self.hd3 = gr.head(gr.sizeof_gr_complex * 12 * N_rb_dl, 280)
self.snk1 = gr.vector_sink_c(72)
self.snk2 = gr.vector_sink_c(72)
self.snk3 = gr.vector_sink_c(72)
self.tb.connect(self.src, self.eq)
self.tb.connect((self.eq, 0), self.sh1, self.hd1, self.snk1)
self.tb.connect((self.eq, 1), self.sh2, self.hd2, self.snk2)
self.tb.connect((self.eq, 2), self.sh3, self.hd3, self.snk3)
