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Sarig Junior Member Offline Posts: 31	PLL Linear Model, in matlab,simulink or canence? Oct 27^th, 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
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pancho_hideboo Senior Fellow Offline Posts: 1424 Real Homeless	Re: �PLL Linear Model, in matlab,simulink or Reply #1 - Oct 28^th, 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/
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Eugene

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Re: PLL Linear Model, in matlab,simulink or
Reply #2 - Oct 29^th, 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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loose-electron

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Re: �PLL Linear Model, in matlab,simulink or
Reply #3 - Nov 2^nd, 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 29^th, 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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Jerry Twomey
www.effectiveelectrons.com
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