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 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
