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Previously I used PSPICE for my analog/mixed-signal simulations. Recently I tried to convert my design to Cadence Virtuoso-Spectre. I have been self-studying it for a few days. It is quite different from PSPICE and it looks like powerful and complicated. Due to lack of training materials I have to google online or look at the HEP manual installed with the software.
Here I have a simple question regarding monte carlo analysis using ADE XL. Here is my procesure:
1) Capture design (a inverter) in schematic editor. Then from there, launch -- ADE L
2) In ADE L, I setup the simulator, library, variables, output, and analysis. I can run simulations (tran, DC) successfully.
3) next I want to do a monte carlo analysis. I know I have to start ADE XL for the monte carlo analysis. Basically I want to see how the model parameter (VTO) variation changes the circuit performance. In my technology library folder, I noticed there is a mc folder along with other folders (tm, ws, wp, wz, wo). I guess this mc folder is used in the monte carlo analysis.
My question is how do I use the models in the mc folder to specify lot variation and device mismatch variation?
In PSPICE it is very straight forward. I just put dev and lot statement after the parameter I want to vary then it is ok to go. But how to do it in ADE XL environment?
Is there any detailed tutorial available somewhere in this forum?
Thanks for your help!
Spectre requires 'statistics' block to be defined in the model files. This 'statistics' block further consists of 'process' and 'mismatch' blocks etc. where you define the parameters statistical distributions.
Please refer to Monte Carlo Analysis in Analyses Chapter of Spectre User Guide for more details. You may specifically refer to "Specifying Parameter Distributions Using Statistics Blocks" section to understand it in more details.
Regarding how to run Monte Carlo Analysis in ADEXL you may refer to Chapter - 'Performing Monte Carlo Analysis'.
For now I am not aware if there is any direct reference available for mapping Pspice Monte Carlo Analysis to Spectre Monte Carlo Analysis.
In reply to Ashish Patni: