Sounds good. Can you please run your "txrx" simulation or separate "tx" "rx"
simulation and screenshot me the output because I feel like what I am seeing is
wrong. I want to be sure the output of the fft is correct. On the receiver side
I am getting the message debug that tells me the packet number and packet
length as well as if it's detecting a failed packet.
On Tuesday, January 27, 2015 12:11 PM, Achilleas Anastasopoulos
<anas...@umich.edu> wrote:
Frank,
you can perform simulations and plot BER vs SNR using either of the two apps
provided (ie, either the txrx or the separate tx and rx apps that communicate
through FIFO). The file vs FIFO is irrelevant here: the FIFOs are just used for
"emulating"
the communication between the two different tx and rx applications.
In both cases you can either dump the rx results to a file and compare with the
"known" tx transmission, or you can add BER GRC blocks...
All the above are not gr-cdma related, so i am sure you can find plenty of
examples of how this is done in this list and in the gnuradio examples.
Achilleas
On Mon, Jan 26, 2015 at 10:01 PM, Frank Pinto <frankpint...@yahoo.com> wrote:
Sounds good! I figured this already just wanted to be sure. And will I be able
to plot the BER vs. Eb/NO by using the writing and reading to fifo or simply
reading and writing to a file and importing the data to matlab for the BER vs
Eb/NO plot?
On Friday, January 23, 2015 5:59 PM, Frank Pinto <frankpint...@yahoo.com>
wrote:
|
Sounds good! I figured this already just wanted to be sure. And will I be able
to plot the BER vs. Eb/NO by using the writing and reading to fifo or simply
reading and writing to a file and importing the data to matlab for the BER vs
Eb/NO plot?
Sent from Yahoo Mail for iPhone
At Jan 23, 2015, 5:53:58 PM, Achilleas Anastasopoulos wrote:The beautiful thing
about open source is that all the detail are there for you to see!
Looking at the cdma_parameters.py file,
you can see:
pulse_training = numpy.array((1,1,1,1,-1,1,1,-1))+0j
pulse_data =numpy.array((-1,1,-1,1,-1,-1,-1,-1))+0j
so we are using 8 chips per symbol with two orthogonal codes for training and
data.
You can change them and put anything you like (they better be orthogonal AND
each should have good
autocorrelation properties-- or at least the training code should)
best,
Achilleas
|
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