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Re: [Discuss-gnuradio] RFNoc and data rates


From: Marcus D. Leech
Subject: Re: [Discuss-gnuradio] RFNoc and data rates
Date: Wed, 23 Sep 2015 20:14:18 -0400
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On 09/23/2015 06:13 PM, Simon Olvhammar wrote:
What would be a good choice for N in this case?
However, this seems very promising and I thank you for your help!

Cheers
Simon
Whatever rate you're comfortable receiving integrated FFTs at. You'd adjust the 'alpha' value for the IIR filter and N appropriately.

Let's say you're running the FFT input at full bandwidth--200Msps, and you have an FFT size of 2048. That's 97.7e3 FFTs/second being produced in the FFT machinery in RFNoC, including the complex-to-mag part. Run that through a single-pole-IIR filter with an alpha value of, let's say, 0.01 (or the integer/fixed-point equivalent). Then set your 'N' in keep-one-in-N to be about 100. You'll get roughly 97.7e1 FFTs/second into your host instead of 97.7e3 FFTs/second. At those low rates, even a purely-Python-based secondary
  long-term integrator should be able to keep up just fine.



On 09/23/2015 11:40 PM, Marcus D. Leech wrote:
On 09/23/2015 04:19 PM, Simon Olvhammar wrote:
Hi Marcus,
No, we also have some spectrometers for atmospheric measurements.

Regarding the keep 1 in N. It occurs to me then that by using this I would loose (N-1)/N percent of the FFT data for a given amount of observation time? Or am I missing something?
Simon
Since you're integrating prior to decimation here, there should be no loss of information.



Den 2015-09-23 kl. 21:40, skrev Marcus D. Leech:
On 09/23/2015 03:06 PM, Marcus D. Leech wrote:
On 09/23/2015 02:49 PM, Simon Olvhammar wrote:
Hello,
Thank you for your answers.
Yes we do alot of averaging to expose the signal, in some applications we even average over several months.
Are these astronomical spectral features? They usually aren't that wide, even with doppler spreading.



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