On 5/18/22 5:31 PM, Brian Beezley wrote:
I've been told I should post a link to this writeup I did several
years ago:
http://ham-radio.com/k6sti/pileup.htm
As noted in the analysis limitations section, I'm not sure how much it
really adds. But I do think a probabilistic approach is needed to
tease out the effect of small power differences.
I've thought of recording pileups to try to obtain some realistic
signal power distributions. But it's tricky to do that well. I was
afraid I didn't know enough to avoid biased data so I've never done it.
How did you choose log-normal as the "interference power" distribution?
I've just been looking at some modeling codes, and for an individual
interferer, their power will likely be Rayleigh distributed (multipath
fading in the ionosphere). I'm not sure what the "sum of Rayleigh" would
look like (although I'll know shortly because I'm building a model).
( I note that the literature says "/Sums of Rayleigh/random variables
occur extensively in wireless communications. A closed-form expression
does not exist for the/sum distribution/." - so a Monte Carlo is where
it's at.)
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