def __init__(self, fft_length):
gr.hier_block2.__init__(self, "foe",
gr.io_signature2(2,2,gr.sizeof_gr_complex,gr.sizeof_char),
gr.io_signature(1,1,gr.sizeof_float))
self.input = (self,0)
self.time_sync = (self,1)
# P(d)
self.nominator = schmidl_nominator(fft_length)
# sample nominator
sampler = vector_sampler(gr.sizeof_gr_complex,1)
self.connect(self.input, self.nominator, (sampler,0))
self.connect(self.time_sync, (sampler,1))
# calculate epsilon from P(d), epsilon is normalized fractional frequency offset
angle = complex_to_arg()
self.epsilon = gr.multiply_const_ff(1.0/math.pi)
self.connect(sampler, angle, self.epsilon, self)
try:
gr.hier_block.update_var_names(self, "foe", vars())
gr.hier_block.update_var_names(self, "foe", vars(self))
except:
pass
def __init__(self, fft_length):
gr.hier_block2.__init__(
self, "foe",
gr.io_signature2(2, 2, gr.sizeof_gr_complex, gr.sizeof_char),
gr.io_signature(1, 1, gr.sizeof_float))
self.input = (self, 0)
self.time_sync = (self, 1)
# P(d)
self.nominator = schmidl_nominator(fft_length)
# sample nominator
sampler = vector_sampler(gr.sizeof_gr_complex, 1)
self.connect(self.input, self.nominator, (sampler, 0))
self.connect(self.time_sync, (sampler, 1))
# calculate epsilon from P(d), epsilon is normalized fractional frequency offset
angle = complex_to_arg()
self.epsilon = gr.multiply_const_ff(1.0 / math.pi)
self.connect(sampler, angle, self.epsilon, self)
try:
gr.hier_block.update_var_names(self, "foe", vars())
gr.hier_block.update_var_names(self, "foe", vars(self))
except:
pass
def __init__(self, vlen):
gr.hier_block2.__init__(self, "coarse_frequency_offset_estimation",
gr.io_signature2(2,2,gr.sizeof_gr_complex,gr.sizeof_char),
gr.io_signature (1,1,gr.sizeof_float))
## Preamble Extraction
sampler = vector_sampler(gr.sizeof_gr_complex,vlen)
self.connect(self,sampler)
self.connect((self,1),(sampler,1))
## Split block into two parts
splitter = gr.vector_to_streams(gr.sizeof_gr_complex*vlen/2,2)
self.connect(sampler,splitter)
## Multiply 2nd sub-part with conjugate of 1st sub-part
conj_mult = gr.multiply_conjugate_cc(vlen/2)
self.connect((splitter,1),(conj_mult,0))
self.connect((splitter,0),(conj_mult,1))
## Sum of Products
psum = vector_sum_vcc(vlen/2)
self.connect((conj_mult,0),psum)
## Complex to Angle
angle = complex_to_arg()
self.connect(psum,angle)
## Normalize
norm = gr.multiply_const_ff(1.0/math.pi)
self.connect(angle,norm)
## Setup Output Connections
self.connect(norm,self)
def __init__(self, vlen):
gr.hier_block2.__init__(
self, "coarse_frequency_offset_estimation",
gr.io_signature2(2, 2, gr.sizeof_gr_complex, gr.sizeof_char),
gr.io_signature(1, 1, gr.sizeof_float))
## Preamble Extraction
sampler = vector_sampler(gr.sizeof_gr_complex, vlen)
self.connect(self, sampler)
self.connect((self, 1), (sampler, 1))
## Split block into two parts
splitter = gr.vector_to_streams(gr.sizeof_gr_complex * vlen / 2, 2)
self.connect(sampler, splitter)
## Multiply 2nd sub-part with conjugate of 1st sub-part
conj_mult = gr.multiply_conjugate_cc(vlen / 2)
self.connect((splitter, 1), (conj_mult, 0))
self.connect((splitter, 0), (conj_mult, 1))
## Sum of Products
psum = vector_sum_vcc(vlen / 2)
self.connect((conj_mult, 0), psum)
## Complex to Angle
angle = complex_to_arg()
self.connect(psum, angle)
## Normalize
norm = gr.multiply_const_ff(1.0 / math.pi)
self.connect(angle, norm)
## Setup Output Connections
self.connect(norm, self)
