def test_mod_cpm():
tb = gr.top_block()
precode = mlse.xor_encode_bb()
nrz = gr.map_bb([1, -1])
mod = gr.gmskmod_bc(1, 0.3, 4)
#src = gr.vector_source_b([0,0,0,0,1,1,1,1,0,0])
#src = gr.vector_source_b([1,1,0,0,1,0,0,1,1,1,0,0,0,0])
src = gr.vector_source_b((1, ) * 1000)
sink = gr.vector_sink_c()
derot = mlse.derotate_cc(1, 4)
tb.connect(src, precode, nrz, mod, derot, sink)
precode_probe = gr.vector_sink_b()
tb.connect(nrz, precode_probe)
tb.run()
d = sink.data()
from cmath import phase, pi, rect
real = lambda x: x.real
import operator
d_r = d #list(decimate(d,5,2))
d2 = [int(round((phase(i) / pi) * 100)) for i in d]
derotate = [(-1j)**(i + 1) for i in range(len(d_r))]
d3 = map(operator.mul, d_r, derotate)
# print "\n".join(map(str,map(real,d3)))
print precode_probe.data()
# print "\n".join(map(str,map(phase,d)))
print "\n".join([str(phase(i) / pi) for i in d])
print len(d)
print derotate
def test_mod_cpm():
tb = gr.top_block()
precode = mlse.xor_encode_bb()
nrz = gr.map_bb([1,-1])
mod = gr.gmskmod_bc(1,0.3,4)
#src = gr.vector_source_b([0,0,0,0,1,1,1,1,0,0])
#src = gr.vector_source_b([1,1,0,0,1,0,0,1,1,1,0,0,0,0])
src = gr.vector_source_b((1,)*1000)
sink = gr.vector_sink_c()
derot = mlse.derotate_cc(1,4)
tb.connect(src, precode, nrz, mod, derot, sink)
precode_probe = gr.vector_sink_b()
tb.connect(nrz, precode_probe)
tb.run()
d = sink.data()
from cmath import phase, pi, rect
real = lambda x: x.real
import operator
d_r = d#list(decimate(d,5,2))
d2 = [ int(round((phase(i)/pi)*100)) for i in d ]
derotate = [ (-1j)**(i+1) for i in range(len(d_r))]
d3 = map(operator.mul, d_r, derotate)
# print "\n".join(map(str,map(real,d3)))
print precode_probe.data()
# print "\n".join(map(str,map(phase,d)))
print "\n".join([str(phase(i)/pi) for i in d])
print len(d)
print derotate
def main():
tb = gr.top_block()
# noise source
n = mlse.randint_b(2)
reshape_n = gr.stream_to_vector(1, 58 * 2)
tb.connect(n, reshape_n)
# limit experiment length
head = gr.head(58 * 2, 1)
tb.connect(reshape_n, head)
# modulate
gsm_burstmod = gsm.gsm_modulate_burst()
tb.connect(head, gsm_burstmod)
random_tsc_index = mlse.randint_b(8)
tb.connect(random_tsc_index, (gsm_burstmod, 1))
# apply channel
channel = gsm.my_channel(-100, [0.2, 1, 0.2])
channel_apply = gsm.apply_channel_to_vect(148, channel, 1)
tb.connect(gsm_burstmod, channel_apply)
# derotate
derot = mlse.derotate_cc(148, 4,
-1) #FIXME: why -1? (not as if it matters)
tb.connect(channel_apply, derot)
modsink = gr.vector_sink_c(148)
datasink = gr.vector_sink_b(58 * 2)
tb.connect(derot, modsink)
tb.connect(head, datasink)
# mlse-decode
decode = mlse.equalizer_midamble_vcb(mlse.make_packet_config_gsm())
tb.connect(derot, decode)
tb.connect(random_tsc_index, (decode, 1))
# ber
ber = mlse.ber_vbi(58 * 2)
tb.connect(decode, ber)
tb.connect(head, (ber, 1))
result_sink = gr.vector_sink_b(58 * 2)
tb.connect(decode, result_sink)
chanest_sink = gr.vector_sink_c(7)
tb.connect((decode, 1), chanest_sink)
tb.run()
tb.run()
d = modsink.data()
# printvect_c(d)
print ber.bit_error_rate()
print_bitvect(datasink.data())
print_bitvect(result_sink.data())
import operator
print_bitvect(map(operator.xor, datasink.data(), result_sink.data()))
printvect_c(chanest_sink.data())
def main():
tb = gr.top_block()
# noise source
n = mlse.randint_b(2)
reshape_n = gr.stream_to_vector(1, 58*2)
tb.connect(n,reshape_n)
# limit experiment length
head=gr.head(58*2,1)
tb.connect(reshape_n, head)
# modulate
gsm_burstmod = gsm.gsm_modulate_burst()
tb.connect(head, gsm_burstmod)
random_tsc_index = mlse.randint_b(8);
tb.connect(random_tsc_index, (gsm_burstmod,1))
# apply channel
channel = gsm.my_channel(-100,[0.2,1,0.2])
channel_apply = gsm.apply_channel_to_vect(148, channel, 1)
tb.connect(gsm_burstmod, channel_apply)
# derotate
derot = mlse.derotate_cc(148,4,-1) #FIXME: why -1? (not as if it matters)
tb.connect(channel_apply, derot)
modsink = gr.vector_sink_c(148)
datasink = gr.vector_sink_b(58*2)
tb.connect(derot, modsink)
tb.connect(head, datasink)
# mlse-decode
decode = mlse.equalizer_midamble_vcb(mlse.make_packet_config_gsm())
tb.connect(derot,decode)
tb.connect(random_tsc_index, (decode,1))
# ber
ber = mlse.ber_vbi(58*2)
tb.connect(decode, ber)
tb.connect(head, (ber,1))
result_sink = gr.vector_sink_b(58*2)
tb.connect(decode, result_sink)
chanest_sink = gr.vector_sink_c(7)
tb.connect((decode,1), chanest_sink)
tb.run()
tb.run()
d=modsink.data()
# printvect_c(d)
print ber.bit_error_rate()
print_bitvect( datasink.data())
print_bitvect( result_sink.data())
import operator
print_bitvect( map(operator.xor, datasink.data(), result_sink.data()))
printvect_c( chanest_sink.data())
def test_001_t (self):
"""tests sample mode"""
input_data = (1.,)*40
expected_result = (-1j, -1, 1j,1)*10
# set up fg
src = gr.vector_source_c(input_data)
derot = mlse_swig.derotate_cc(1,4,1)
sink = gr.vector_sink_c();
self.tb.connect(src, derot, sink)
self.tb.run ()
# check data
self.assertComplexTuplesAlmostEqual(expected_result, sink.data())
def test_001_t(self):
"""tests sample mode"""
input_data = (1., ) * 40
expected_result = (-1j, -1, 1j, 1) * 10
# set up fg
src = gr.vector_source_c(input_data)
derot = mlse_swig.derotate_cc(1, 4, 1)
sink = gr.vector_sink_c()
self.tb.connect(src, derot, sink)
self.tb.run()
# check data
self.assertComplexTuplesAlmostEqual(expected_result, sink.data())
def make_flowgraph(self):
tb = gr.top_block()
# noise source
n = mlse.randint_b(2)
reshape_n = gr.stream_to_vector(1, 58 * 2)
tb.connect(n, reshape_n)
# limit experiment length
head = gr.head(58 * 2, self.packets)
tb.connect(reshape_n, head)
# modulate
gsm_burstmod = gsm.gsm_modulate_burst()
tb.connect(head, gsm_burstmod)
random_tsc_index = mlse.randint_b(8)
tb.connect(random_tsc_index, (gsm_burstmod, 1))
# apply channel
channel = gsm.my_channel(self.snr, self.chan_taps)
channel_apply = gsm.apply_channel_to_vect(148, channel, 3)
#TODO: don't use to_vector and to_stream for the channel
tb.connect(gsm_burstmod, channel_apply)
# derotate
derot = mlse.derotate_cc(148, 4,
-1) #FIXME: why -1? (not as if it matters)
tb.connect(channel_apply, derot)
# mlse-decode
if (self.no_decorr):
decode = gsm.gsm_decode_harddecision()
else:
decode = mlse.equalizer_midamble_vcb(mlse.make_packet_config_gsm())
tb.connect(random_tsc_index, (decode, 1))
tb.connect(derot, decode)
# ber
ber = mlse.ber_vbi(58 * 2)
tb.connect(decode, ber)
tb.connect(head, (ber, 1))
if (not self.no_decorr):
# throw away channel-estimate data
chanest_sink = gr.null_sink(6 * gr.sizeof_gr_complex)
tb.connect((decode, 1), chanest_sink)
# export members we need
self.tb = tb
self.ber = ber
self.head = head
self.channel = channel
def make_flowgraph(self):
tb = gr.top_block()
# noise source
n = mlse.randint_b(2)
reshape_n = gr.stream_to_vector(1, 58*2)
tb.connect(n,reshape_n)
# limit experiment length
head=gr.head(58*2,self.packets)
tb.connect(reshape_n, head)
# modulate
gsm_burstmod = gsm.gsm_modulate_burst()
tb.connect(head, gsm_burstmod)
random_tsc_index = mlse.randint_b(8);
tb.connect(random_tsc_index, (gsm_burstmod,1))
# apply channel
channel = gsm.my_channel(self.snr, self.chan_taps)
channel_apply = gsm.apply_channel_to_vect(148, channel, 3)
#TODO: don't use to_vector and to_stream for the channel
tb.connect(gsm_burstmod, channel_apply)
# derotate
derot = mlse.derotate_cc(148,4,-1) #FIXME: why -1? (not as if it matters)
tb.connect(channel_apply, derot)
# mlse-decode
if(self.no_decorr):
decode = gsm.gsm_decode_harddecision()
else:
decode = mlse.equalizer_midamble_vcb(mlse.make_packet_config_gsm())
tb.connect(random_tsc_index, (decode,1))
tb.connect(derot,decode)
# ber
ber = mlse.ber_vbi(58*2)
tb.connect(decode, ber)
tb.connect(head, (ber,1))
if(not self.no_decorr):
# throw away channel-estimate data
chanest_sink = gr.null_sink(6*gr.sizeof_gr_complex)
tb.connect((decode,1), chanest_sink)
# export members we need
self.tb = tb
self.ber = ber
self.head = head
self.channel = channel
def test_viterbi():
tb=gr.top_block()
channel = [0,1,0]
prellen = len(channel) - 1
data = [random.randint(0,1) for i in xrange(20+prellen)]
data.extend([0,0,0]) # tailbits
data.extend([0]*6) # to flush modulator
# modulate
datasrc = gr.vector_source_b(data)
diffcode = mlse.xor_encode_bb();
nrz = gr.map_bb([1,-1])
mod = gr.gmskmod_bc(1, 0.3, 12)
derot = mlse.derotate_cc();
modsink = gr.vector_sink_c();
tb.connect(datasrc, diffcode, nrz, mod, derot, modsink)
tb.run()
samples = modsink.data()[6:]
printvect_c(samples)
preload = data[:prellen]
rest = data[prellen:][:20]
tb=gr.top_block()
conf=mlse.make_packet_config_gsm()
vit = mlse.viterbi_vcb(20,len(channel),3,[1,-1])#conf.get_constellation())
chansrc = gr.vector_source_c(channel,vlen=len(channel))
preloadsrc = gr.vector_source_b(preload,vlen=len(preload))
samplesrc = gr.vector_source_c(samples,vlen=len(samples))
sink = gr.vector_sink_b(20)
tb.connect(chansrc, (vit,0))
tb.connect(samplesrc, (vit,1))
tb.connect(preloadsrc, (vit,2))
tb.connect(vit, sink)
tb.run()
print_bitvect(preload)
print_bitvect(rest)
print_bitvect(sink.data())
def test_viterbi():
tb = gr.top_block()
channel = [0, 1, 0]
prellen = len(channel) - 1
data = [random.randint(0, 1) for i in xrange(20 + prellen)]
data.extend([0, 0, 0]) # tailbits
data.extend([0] * 6) # to flush modulator
# modulate
datasrc = gr.vector_source_b(data)
diffcode = mlse.xor_encode_bb()
nrz = gr.map_bb([1, -1])
mod = gr.gmskmod_bc(1, 0.3, 12)
derot = mlse.derotate_cc()
modsink = gr.vector_sink_c()
tb.connect(datasrc, diffcode, nrz, mod, derot, modsink)
tb.run()
samples = modsink.data()[6:]
printvect_c(samples)
preload = data[:prellen]
rest = data[prellen:][:20]
tb = gr.top_block()
conf = mlse.make_packet_config_gsm()
vit = mlse.viterbi_vcb(20, len(channel), 3,
[1, -1]) #conf.get_constellation())
chansrc = gr.vector_source_c(channel, vlen=len(channel))
preloadsrc = gr.vector_source_b(preload, vlen=len(preload))
samplesrc = gr.vector_source_c(samples, vlen=len(samples))
sink = gr.vector_sink_b(20)
tb.connect(chansrc, (vit, 0))
tb.connect(samplesrc, (vit, 1))
tb.connect(preloadsrc, (vit, 2))
tb.connect(vit, sink)
tb.run()
print_bitvect(preload)
print_bitvect(rest)
print_bitvect(sink.data())