diff options
Diffstat (limited to 'gr-digital/python/digital/ofdm_sync_pn.py')
| -rw-r--r-- | gr-digital/python/digital/ofdm_sync_pn.py | 31 |
1 files changed, 12 insertions, 19 deletions
diff --git a/gr-digital/python/digital/ofdm_sync_pn.py b/gr-digital/python/digital/ofdm_sync_pn.py index 8bf7ed782a..bdc7fd6438 100644 --- a/gr-digital/python/digital/ofdm_sync_pn.py +++ b/gr-digital/python/digital/ofdm_sync_pn.py @@ -1,38 +1,31 @@ #!/usr/bin/env python # # Copyright 2007,2008 Free Software Foundation, Inc. -# +# # This file is part of GNU Radio -# +# # GNU Radio is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 3, or (at your option) # any later version. -# +# # GNU Radio is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. -# +# # You should have received a copy of the GNU General Public License # along with GNU Radio; see the file COPYING. If not, write to # the Free Software Foundation, Inc., 51 Franklin Street, # Boston, MA 02110-1301, USA. -# +# + +from __future__ import division +from __future__ import unicode_literals -import math -from numpy import fft -from gnuradio import gr -try: - from gnuradio import filter -except ImportError: - import filter_swig as filter +from gnuradio import gr, blocks, filter -try: - from gnuradio import blocks -except ImportError: - import blocks_swig as blocks class ofdm_sync_pn(gr.hier_block2): def __init__(self, fft_length, cp_length, logging=False): @@ -52,7 +45,7 @@ class ofdm_sync_pn(gr.hier_block2): # PN Sync # Create a delay line - self.delay = blocks.delay(gr.sizeof_gr_complex, fft_length/2) + self.delay = blocks.delay(gr.sizeof_gr_complex, fft_length / 2) # Correlation from ML Sync self.conjg = blocks.conjugate_cc(); @@ -98,10 +91,10 @@ class ofdm_sync_pn(gr.hier_block2): self.connect(self.c2mag, (self.normalize,0)) # Create a moving sum filter for the corr output - matched_filter_taps = [1.0/cp_length for i in range(cp_length)] + matched_filter_taps = [1.0 / cp_length for i in range(cp_length)] self.matched_filter = filter.fir_filter_fff(1,matched_filter_taps) self.connect(self.normalize, self.matched_filter) - + self.connect(self.matched_filter, self.sub1, self.pk_detect) #self.connect(self.matched_filter, self.pk_detect) self.connect(self.pk_detect, (self.sample_and_hold,1)) |