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Design >> RF Design >> PLL Linear Model, in matlab,simulink or canence?
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Message started by Sarig on Oct 27th, 2007, 11:34am

Title: PLL Linear Model, in matlab,simulink or canence?
Post by Sarig on Oct 27th, 2007, 11:34am

Hello,
I need Help:
1) I don't know how to build a PLL model for Noise. In which tool do I build a linear model including noise sources?
2) In which tool do I design the loop parameters ?
2) How do I plot Phase noise in Matlab/Simulink ?


HELP ME!!!!!
Thanks,
Erez

Title: Re:  PLL Linear Model, in matlab,simulink or
Post by pancho_hideboo on Oct 28th, 2007, 10:29pm

Hi.
I recommend to use Verilog-A(AMS).

http://www.designers-guide.org/Forum/YaBB.pl?num=1175823636
http://www.designers-guide.org/Analysis/

Title: Re:  PLL Linear Model, in matlab,simulink or
Post by Eugene on Oct 29th, 2007, 10:51pm

For linear analysis, I recommend Excel, Matlab, Mathcad, or Mathematica. You should be able to do the linear analysis without resorting to simulation. An analytic approach is faster, more flexible, and better suited for high powered data visualization (such as an animated 3D root locus). However, I would check my analysis with a behavioral simulation based on VerilogA models. One advantage of a simulator-based approach is that you can bring circuit optimizers to bear on the optimization problem.

Title: Re:  PLL Linear Model, in matlab,simulink or
Post by loose-electron on Nov 2nd, 2007, 9:52am

Eugene - I agree - my last PLL was Excel to get the control system stuff right, then Verilog AMS for all the blocks, then,  single block simulations on test benches, then off to mixed level simulations using the Verilog AMS models in conjunction with the transistor level blocks. -- Jerry


Eugene wrote on Oct 29th, 2007, 10:51pm:
For linear analysis, I recommend Excel, Matlab, Mathcad, or Mathematica. You should be able to do the linear analysis without resorting to simulation. An analytic approach is faster, more flexible, and better suited for high powered data visualization (such as an animated 3D root locus). However, I would check my analysis with a behavioral simulation based on VerilogA models. One advantage of a simulator-based approach is that you can bring circuit optimizers to bear on the optimization problem.


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