1) Carrier_rotate_and_EPL_volk
This is a very efficient VOLK based carrier wipeoff and
Early/Prompt/Late correlation. The carrier wipe off is done using the
VOLK rotator functions, which means there is no need to generate a local
replica sinusoid.
2) Carrier_rotate_and_VEPL_Volk
This adds Very Early/Early/Prompt/Late/Very Late correlation with the
VOLK rotator implementation of carrier wipe-off
1) Fixed a bug in gnss_signal::compare
The signal string comparison was not correct.
2) Fix for gnss_flowgraph when satellites are specified
3) Better handling of acquisition in flow graph
Now PRNs are alternated amongst channels, so we don't get 'stuck' on a
particular PRN, and we don't miss out on PRNs that are assigned to
channels that come after a channel that is always in the acquisition state.
4) Added SYS.prns to config file.
Now we can specify which PRNs are available in the configuration, rather
than re-compiling. Particularly useful for debugging, or experimenting
with files where you already know which signals are present
Reduced zero_padding_factor in pcps acquisition
This was 16, I'm processing data at about 16MHz, this oversampling
factor caused memory allocation issues
Previously dump file name was not being read from the configuration
Added fix for non-zero IF in pcps_acquisition_cc
Added linear correlation to pcps acquisition.
bit packed file source. The data is assumed to be packed as bytes
item_type=byte or shorts item_type=short so that there are 4 two bit
samples in each byte.
file sample source. NOTE: This has not been tested with a real NSR front
end. The assumption is, based on reading the NSRFileSignalSource, that
the data is:
o byte item type
o real
o bytes are little endian (least significant bits output first)
This is a generic gnuradio block for handling 2 bit samples packed into
bytes or shorts. It can handle big or little endian ordering of the
samples within the byte, as well as big or little endian ordering of the
bytes within a short.
This is a utility function for a generic sample source which will be
able to handle all of these cases for both real and complex signals.
