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)
def test_000(self):
src_data0 = (-2 - 2j, -1 - 1j, -2 + 2j, -1 + 1j, 2 - 2j, 1 - 1j,
2 + 2j, 1 + 1j, 0 + 0j)
src_data1 = (-3 - 3j, -4 - 4j, -3 + 3j, -4 + 4j, 3 - 3j, 4 - 4j,
3 + 3j, 4 + 4j, 0 + 0j)
exp_data = (12 + 0j, 8 + 0j, 12 + 0j, 8 + 0j, 12 + 0j, 8 + 0j, 12 + 0j,
8 + 0j, 0 + 0j)
src0 = gr.vector_source_c(src_data0)
src1 = gr.vector_source_c(src_data1)
op = gr.multiply_conjugate_cc()
self.help_cc((src_data0, src_data1), exp_data, op)
def test_000 (self):
src_data0 = (-2-2j, -1-1j, -2+2j, -1+1j,
2-2j, 1-1j, 2+2j, 1+1j,
0+0j)
src_data1 = (-3-3j, -4-4j, -3+3j, -4+4j,
3-3j, 4-4j, 3+3j, 4+4j,
0+0j)
exp_data = (12+0j, 8+0j, 12+0j, 8+0j,
12+0j, 8+0j, 12+0j, 8+0j,
0+0j)
src0 = gr.vector_source_c(src_data0)
src1 = gr.vector_source_c(src_data1)
op = gr.multiply_conjugate_cc ()
self.help_cc ((src_data0, src_data1),
exp_data, op)
def test_000(self):
src_data0 = (-2 - 2j, -1 - 1j, -2 + 2j, -1 + 1j, 2 - 2j, 1 - 1j,
2 + 2j, 1 + 1j, 0 + 0j)
src_data1 = (-3 - 3j, -4 - 4j, -3 + 3j, -4 + 4j, 3 - 3j, 4 - 4j,
3 + 3j, 4 + 4j, 0 + 0j)
exp_data = (12 + 0j, 8 + 0j, 12 + 0j, 8 + 0j, 12 + 0j, 8 + 0j, 12 + 0j,
8 + 0j, 0 + 0j)
src0 = gr.vector_source_c(src_data0)
src1 = gr.vector_source_c(src_data1)
op = gr.multiply_conjugate_cc()
dst = gr.vector_sink_c()
self.tb.connect(src0, (op, 0))
self.tb.connect(src1, (op, 1))
self.tb.connect(op, dst)
self.tb.run()
result_data = dst.data()
self.assertEqual(exp_data, result_data)
def multiply_conjugate_cc(N):
try:
op = gr.multiply_conjugate_cc()
tb = helper(N, op, gr.sizeof_gr_complex, gr.sizeof_gr_complex, 2, 1)
return tb
except AttributeError:
class s(gr.hier_block2):
def __init__(self):
gr.hier_block2.__init__(self, "s",
gr.io_signature(2, 2, gr.sizeof_gr_complex),
gr.io_signature(1, 1, gr.sizeof_gr_complex))
conj = gr.conjugate_cc()
mult = gr.multiply_cc()
self.connect((self,0), (mult,0))
self.connect((self,1), conj, (mult,1))
self.connect(mult, self)
op = s()
tb = helper(N, op, gr.sizeof_gr_complex, gr.sizeof_gr_complex, 2, 1)
return tb
def multiply_conjugate_cc(N):
try:
op = gr.multiply_conjugate_cc()
tb = helper(N, op, gr.sizeof_gr_complex, gr.sizeof_gr_complex, 2, 1)
return tb
except AttributeError:
class s(gr.hier_block2):
def __init__(self):
gr.hier_block2.__init__(
self, "s", gr.io_signature(2, 2, gr.sizeof_gr_complex),
gr.io_signature(1, 1, gr.sizeof_gr_complex))
conj = gr.conjugate_cc()
mult = gr.multiply_cc()
self.connect((self, 0), (mult, 0))
self.connect((self, 1), conj, (mult, 1))
self.connect(mult, self)
op = s()
tb = helper(N, op, gr.sizeof_gr_complex, gr.sizeof_gr_complex, 2, 1)
return tb
def test_000 (self):
src_data0 = (-2-2j, -1-1j, -2+2j, -1+1j,
2-2j, 1-1j, 2+2j, 1+1j,
0+0j)
src_data1 = (-3-3j, -4-4j, -3+3j, -4+4j,
3-3j, 4-4j, 3+3j, 4+4j,
0+0j)
exp_data = (12+0j, 8+0j, 12+0j, 8+0j,
12+0j, 8+0j, 12+0j, 8+0j,
0+0j)
src0 = gr.vector_source_c(src_data0)
src1 = gr.vector_source_c(src_data1)
op = gr.multiply_conjugate_cc ()
dst = gr.vector_sink_c ()
self.tb.connect(src0, (op,0))
self.tb.connect(src1, (op,1))
self.tb.connect(op, dst)
self.tb.run()
result_data = dst.data ()
self.assertEqual (exp_data, result_data)