Hi,
I want to do some research on cognitive radio network with usrp, so I am
more concern about what kind of spectrum sensing method does usrp adopt?
I know that there are such spectrum sensing methods at present to
determine which spectrum has been occupied by primary user: Matched
Filter
Detection, Energy Detection, Cyclostationary Feature Detection, and
Interference Temperature,
I read through the file usrp_spectrum_sense.py in directory
“gnuradio-3.1.2/gnuradio-examples/python/usrp”, but I didn’t find the
answer.
Does anyone know, please tell me which method does usrp adopt in
spectrum sensing or where to search, thanks in advance.
On Wed, Oct 15, 2008 at 03:55:02PM +0800, Su Jinzhao wrote:
Hi,
I want to do some research on cognitive radio network with usrp, so I am
more concern about what kind of spectrum sensing method does usrp adopt?
The USRP is a piece of h/w that along with software can do an
extremely wide range of tasks.
The USRP itself (and GNU Radio for that matter) doesn’t adopt any
particular spectrum sensing method. You are free to make up and
implement whatever you like.
I know that there are such spectrum sensing methods at present to
determine which spectrum has been occupied by primary user: Matched Filter
Detection, Energy Detection, Cyclostationary Feature Detection, and
Interference Temperature,
I read through the file usrp_spectrum_sense.py in directory
“gnuradio-3.1.2/gnuradio-examples/python/usrp”, but I didn’t find the
answer.
usrp_spectrum_sense show one way that you could step across the
spectrum and make measurements. It happens to be computing FFTs, but
it’s by no means the “right answer”.
Does anyone know, please tell me which method does usrp adopt in
spectrum sensing or where to search, thanks in advance.
–
Su Jinzhao
Eric