Complex data after modulation

Hi,

I have been working on developing a cooperative diversity scheme. The
basic
structure for transmission and reception purposes is provided by the
benchmark_tx and benchmark_rx files. A step towards my goal is the use
of
complex data achieved after modulation in the form of X+Yj in real time.
I
want the received complex data from the channel filter block to be
processed
(mathematical operations) and then passed on to packet reciever in the
receive_path file. Is it possible to process the received stream from
the
channel filter in python directly, if so, then how? The problem we face
is
the “extraction of complex values for real time processing” in the
receive_path. The complex values (refering to a symbol on constellation)
are
required so that we are able to implement a diversity scheme.

benchmark_tx and benchmark_rx files. A step towards my goal is the use of
complex data achieved after modulation in the form of X+Yj in real time. I
want the received complex data from the channel filter block to be processed
(mathematical operations) and then passed on to packet reciever in the…

Does this need to be in real time?

If the answer is yes, you will most likely want to create a block that
operates on the complex samples, and you can insert it prior to the
demodulation block in the benchmark_rx program. I’m not sure how up
to date the how-to is, but it is at least a place to start:
http://www.gnu.org/software/gnuradio/doc/howto-write-a-block.html

If the answer is no, the easy method would be turn on logging in the
benchmark_rx and then import the data into matlab/octave for
processing. Then you can do any mathematical operations you want
pretty easily. (you may want to do this as a ‘first step’ even if it
needs to be real time to help develop your code)

Jason

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