def __init__( self,
LOS_power, no_taps, vlen, have_LOS = True ):
gr.hier_block2.__init__( self,
"static_fading_channel",
gr.io_signature( 1, 1, gr.sizeof_gr_complex ),
gr.io_signature( 1, 1, gr.sizeof_gr_complex ) )
channel = ofdm.itpp_tdl_channel( [0]*no_taps, range(no_taps) ) #dummy values
channel.set_channel_profile_exponential( no_taps )
channel.set_fading_type( ofdm.Static )
#channel.global_rng_reset( 9 )
if have_LOS:
LOS_rel_power = numpy.zeros( channel.taps() )
print LOS_rel_power
LOS_rel_doppler = numpy.zeros( channel.taps() )
LOS_rel_power[0] = 10**(LOS_power/10.0)
channel.set_LOS( LOS_rel_power, LOS_rel_doppler )
assert( channel.get_fading_type() == ofdm.Static )
assert( channel.taps() == no_taps )
self.connect( self, channel, self )
#freq_resp = numpy.zeros(vlen)
#print freq_resp
freq_resp = channel.calc_frequency_response( vlen )
self.freq_resp = concatenate([ freq_resp[len(freq_resp)/2:len(freq_resp)],
freq_resp[0:len(freq_resp)/2] ]) # shift
self.channel = channel
self.vlen = vlen
def __init__(self, bw):
gr.hier_block2.__init__(self, "itpp_channel",
gr.io_signature(1,1,gr.sizeof_gr_complex),
gr.io_signature(1,1,gr.sizeof_gr_complex))
self._bandwidth=bw
fad_chan= self.fad_chan = ofdm.itpp_tdl_channel( ) #[0, -7, -20], [0, 2, 6]
fad_chan.set_channel_profile( ofdm.ITU_Pedestrian_B, 1./self._bandwidth) #5e-8 )
fad_chan.set_norm_doppler( 5e-7 )
self.connect(self, fad_chan, self)
fad_chan.set_norm_doppler( pow(10,-10) )
def __init__(self, bw):
gr.hier_block2.__init__(self, "itpp_channel",
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(1, 1, gr.sizeof_gr_complex))
self._bandwidth = bw
fad_chan = self.fad_chan = ofdm.itpp_tdl_channel(
) #[0, -7, -20], [0, 2, 6]
fad_chan.set_channel_profile(ofdm.ITU_Pedestrian_B,
1. / self._bandwidth) #5e-8 )
fad_chan.set_norm_doppler(5e-7)
self.connect(self, fad_chan, self)
fad_chan.set_norm_doppler(pow(10, -10))
