Re: [time-nuts] simple explanation of noise spectra with mixing

2015-03-02 Thread Jim Lux

On 3/1/15 10:23 AM, Joseph Gwinn wrote:


time-nuts Digest, Vol 128, Issue 1, Message: 8

Date: Sat, 28 Feb 2015 17:46:18 -0800
From: Jim Lux jim...@earthlink.net
To: Discussion of precise time and frequency measurement
time-nuts@febo.com
Subject: [time-nuts] simple explanation of noise spectra with mixing,
etc.
Message-ID: 54f26f6a.6030...@earthlink.net
Content-Type: text/plain; charset=utf-8; format=flowed

Is there a handy one pager kind of explanation of noise spectra after
some forms of signal processing..


The best source for the math is probably Fred Walls:

F. L. Walls, “Correlation between upper and lower sidebands” IEEE
Trans. UFFC, Vol. 47, pp 407-410, 2000.

PM and AM Noise of Combined Signal Sources, Fred L. Walls, Total
Frequency, fredlwa...@cs.com, Proceedings of the 2003 IEEE
International Frequency Control Symposium and PDA Exhibition Jointly
with the 17th European Frequency and Time Forum,
0-7803-7688-9/03/$17.00 © 2003 IEEE, pages 532-540.



I'll look those up..

I was hoping that someone, somewhere had done a guide to phase noise 
in 1 or 2 pages or a poster.


There's lots of pieces scattered hither and yon, but before I spent much 
time generating my own..


Kind of like that cool plot that a time-nut has which shows the spectra 
and allan dev of the various colors of noise in a table.





For instance, if you have a oscillator which has a 1/f characteristic,
and you mix it with itself, what is the spectra of the output of the mixer.






Mixing is a multiplicative process, so this is equivalent to squatting
the signal, which doubles its frequency, so the effect will be 20
Log10(2)= 6 db increase of phase noise on the double-frequency terms.


I assume you mean squaring..
True, the 2 f term will have 6dB more.. But what about the baseband/DC 
component..




Your bottom-line question will be if there is any cancellation of phase
noise; this will involve the time delay for the rata signal to get to
the target and return.  My guess is that there will be no
cancellation.



Short ranges (1 km) so actually, lots of cancellation.  the round trip 
delay is 6 microseconds, so a variation at, say, 10 Hz, is pretty well 
cancelled out.




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Re: [time-nuts] simple explanation of noise spectra with mixing

2015-03-01 Thread Joseph Gwinn

 time-nuts Digest, Vol 128, Issue 1, Message: 8

 Date: Sat, 28 Feb 2015 17:46:18 -0800
 From: Jim Lux jim...@earthlink.net
 To: Discussion of precise time and frequency measurement
   time-nuts@febo.com
 Subject: [time-nuts] simple explanation of noise spectra with mixing,
   etc.
 Message-ID: 54f26f6a.6030...@earthlink.net
 Content-Type: text/plain; charset=utf-8; format=flowed
 
 Is there a handy one pager kind of explanation of noise spectra after 
 some forms of signal processing..

The best source for the math is probably Fred Walls:

F. L. Walls, “Correlation between upper and lower sidebands” IEEE 
Trans. UFFC, Vol. 47, pp 407-410, 2000.

PM and AM Noise of Combined Signal Sources, Fred L. Walls, Total 
Frequency, fredlwa...@cs.com, Proceedings of the 2003 IEEE 
International Frequency Control Symposium and PDA Exhibition Jointly 
with the 17th European Frequency and Time Forum,  
0-7803-7688-9/03/$17.00 © 2003 IEEE, pages 532-540.


 For instance, if you have a oscillator which has a 1/f characteristic, 
 and you mix it with itself, what is the spectra of the output of the mixer.

Mixing is a multiplicative process, so this is equivalent to squatting 
the signal, which doubles its frequency, so the effect will be 20 
Log10(2)= 6 db increase of phase noise on the double-frequency terms.

Your bottom-line question will be if there is any cancellation of phase 
noise; this will involve the time delay for the rata signal to get to 
the target and return.  My guess is that there will be no 
cancellation.  

 
 Or if you have a 1/f^3 characteristic (e.g. from a crystal oscillator, 
 very close in) or a 1/f^2 (from a VCO).

The double rule will apply to each point in the phase noise  as if it 
were alone.


 Specifically, I've got some folks working with homodyne radars (where 
 you demodulate the received signal with a sample of the transmitted 
 signal, but sometimes with an offset mixed in, etc.) and I'm looking for 
 a quick intro to this kind of thing at a sort of 
 empirical/phenomenological as opposed to analytical..
 
 If you see X on a spectrum analyzer or FFT, it is because of Y...
 
 Similarly, they're building PLLs and know about the 20log10(N) thing, 
 but what should the shape of things underneath be.

The 20Loh10(N) applies regardless of offset frequency, so the whole 
phase noise spectrum will move up and down as a unit.


Joe Gwinn
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[time-nuts] simple explanation of noise spectra with mixing, etc.

2015-02-28 Thread Jim Lux
Is there a handy one pager kind of explanation of noise spectra after 
some forms of signal processing..


For instance, if you have a oscillator which has a 1/f characteristic, 
and you mix it with itself, what is the spectra of the output of the mixer.



Or if you have a 1/f^3 characteristic (e.g. from a crystal oscillator, 
very close in) or a 1/f^2 (from a VCO).


Specifically, I've got some folks working with homodyne radars (where 
you demodulate the received signal with a sample of the transmitted 
signal, but sometimes with an offset mixed in, etc.) and I'm looking for 
a quick intro to this kind of thing at a sort of 
empirical/phenomenological as opposed to analytical..


If you see X on a spectrum analyzer or FFT, it is because of Y...

Similarly, they're building PLLs and know about the 20log10(N) thing, 
but what should the shape of things underneath be.

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