Re: [Discuss-gnuradio] Collecting raw iq samples from 2.4GHz to 2.5GHz entire band

[Marcus Müller]

Hi Mallesham,

please make sure you keep the list, address@hidden, in CC when replying!

I think the best way to help you here is to point you at the official guided GNU Radio tutorials,

http://tutorials.gnuradio.org ,

which do explain the handling of messages and how you can instead write data to a file. You might need to write a bit of python.

Best regards,
Marcus

On 01/16/2017 09:39 PM, Mallesham Dasari wrote:

Hi Marcus,

Thank you very much for the response. As Julian mentioned, I removed the FFT and writing the m.raw_data into a file in the main while loop of usrp_spectrum_sense.py. This way, I am getting wrong data. How can I store the raw data into a file instead of sending message to top block? I am new to gnuradio. Any help would be highly appreciated. 

Thanks!

On Mon, Jan 16, 2017 at 1:07 PM, Marcus Müller <address@hidden> wrote:

Hi Mallesham,

could you explain what of Julian's answer you did not understand? I would have pretty much given you exactly the same answer.

Best regards,

Marcus

On 01/16/2017 06:51 PM, Mallesham Dasari wrote:

Hi all,

I am scanning the wifi entire band to collect the raw IQ samples instead of having fft as in usrp_spectrum_sense.py. Can anyone throw some light on it?

As of now, I am trying with approach given by Julian as below:

You might want to take a look at [1] which is the block
usrp_spectrum_sense.py is using internally and modify it to your needs.
I guess you could just remove the FFT and Complex to Mag Square block
from usrp_spectrum_sense.py
(change self.connect(self.u, s2v, ffter, c2mag, stats) to
self.connect(self.u, s2v, stats)) and make sure
that [1] accepts a vector of complex float as input and stores it to a
file instead of sending a message to the top block.

http://gnuradio.org/doc/doxygen/classgr_1_1blocks_1_1bin__statistics__f.html

Thank you very much!

--

Best Regards,

Mallesham Dasari

Department of Computer Science

Stony Brook University

USA - 11794

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Best Regards,

Mallesham Dasari

Department of Computer Science

Stony Brook University

USA - 11794