There is a paper running around behind the IEEE paywall by Collins that details
one approach to designing multi-stage limiters. There are other ways to do it.
The key is to not go to crazy all in one stage.
<self-advertisment>
You can find a modern, more accurate version of Collins result
in [1]. While most formulas in there give the noise up to some
proportionality factor, all the information to calculate the noise
level is in there. The big difference to Collins here is that this
result is exact if you use all harmonics up to infinity (which is
easy) or can break up with a known error if you don't want to go
that far. Collins uses a trapezoid approximation throughout and thus
over-estimates the noise contribution of low-gain stages, which
are the first stages thus contribute to a relatively large error
in the calculation.
</self-advertisment>
Attila Kinali
[1] "A Physical Sine-to-Square Converter Noise Model"
by yours truly, IFCS 2018
http://people.mpi-inf.mpg.de/~adogan/pubs/IFCS2018_comparator_noise.pdf
--
<JaberWorky> The bad part of Zurich is where the degenerates
throw DARK chocolate at you.
Hi Attila,
Thanks for the very nice job. I’ll sharpen out my math and try to read it 😊
Regards,
Giorgio.
On Thu, 22 Oct 2020 13:29:07 -0400
Bob kb8tq <kb8tq at n1k.org<http://lists.febo.com/mailman/listinfo/time-nuts_lists.febo.com>> wrote:
> There is a paper running around behind the IEEE paywall by Collins that details
> one approach to designing multi-stage limiters. There are other ways to do it.
> The key is to not go to crazy all in one stage.
<self-advertisment>
You can find a modern, more accurate version of Collins result
in [1]. While most formulas in there give the noise up to some
proportionality factor, all the information to calculate the noise
level is in there. The big difference to Collins here is that this
result is exact if you use all harmonics up to infinity (which is
easy) or can break up with a known error if you don't want to go
that far. Collins uses a trapezoid approximation throughout and thus
over-estimates the noise contribution of low-gain stages, which
are the first stages thus contribute to a relatively large error
in the calculation.
</self-advertisment>
Attila Kinali
[1] "A Physical Sine-to-Square Converter Noise Model"
by yours truly, IFCS 2018
http://people.mpi-inf.mpg.de/~adogan/pubs/IFCS2018_comparator_noise.pdf
--
<JaberWorky> The bad part of Zurich is where the degenerates
throw DARK chocolate at you.
