Hi John,
trying to understand the confusion here:
What I recommended was really the two-block solution you mentioned in GRC:
So, wouldn't that be exactly what you need? A samp_rate wide piece of white-as-it-gets noise anywhere the E310 can tune to?
Best regards,
Marcus
On 03/23/2017 02:34 PM, John B. Wood
wrote:
On 01/05/2017 02:22 PM, Marcus Müller wrote:
Hi John,Hello, Marcus and all. I finally got around to trying to implement the above suggestion on an Ettus E310 but am a bit puzzled. The suggestion is to connect the GRC noise gen block to a USRP sink. What I want to accomplish is to use the E310 (USRP source?) to output white noise over a prescribed frequency band (e.g. 1-2 GHz) such that an E310 transmit antenna port could be then connected to the device under test (DUT) for noise figure determination. Seems like a simple two-block GRC flow graph. Thanks for any clarification. Sincerely,
sure! Just use the noise source with a noise variance (amplitude) low
enough to allow for the resulting amplitude to very rarely exceed 1.0
(because that would lead to artifacts/non-gaussian distribution) (or,
better yet, use the fast noise source, which preallocates a definable
amount of noise that it then plays over and over again), and connect it
to the USRP sink.
Notice that the E310 isn't sold calibrated – you'll need to calibrate
the noise power generated using e.g. a calibrated spectrum analyzer
yourself.
Best regards,
Marcus
On 01/05/2017 08:18 PM, John B. Wood wrote:
Hello, all. This may be a "RTFM" question but with the stock tools in
GRC (or a non-GRC generated .py file) can a gaussian white noise
generator be readily implemented on an Ettus E310 to provide a
broadband RF noise output (some level in dBW/Hz) over a specified
bandwidth (within the capabilities of the E310) that can be used to
evaluate noise performance of radio receivers? If not feasible then I
will probably have to purchase a noise generator. Thanks for your time
and comment. Sincerely,
J. Wood
U.S. Naval Research
Laboratory
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J. Wood
U.S. Naval Research Lab
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