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Cadence Monte Carlo Simulation Tutorial

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Description

Monte Carlo simulation ……for better yield and performance

Monte Carlo simulation ……for better yield and performance

If fabrication process parameter and device mismatch effect on same die are not taken in to account then  Some design may degrade in performance

Initial design Statistical analysis include process,

Overall design yield could be unexpectedly low Hence statistical analysis must find a high place in design cycle

Design meets the goal

Monte Carlo simulation

We will perform Monte Carlo analysis on an RF-front end LNA and compare the result if no statistical analysis is done

We will also see how to analyze yield and scalar data in Monte Carlo with the help of Low pass filter example

Monte Carlo simulation(example) RF-front end (LNA)

 Knowing System requirement  Initial design based on requirement like noise,gain,narrow or wide band

Bias N/W

Output matching

Input matching Linearity

Cascode arch

to reduce feedback capacitance

Monte Carlo simulation

Choosing affirma analog artist

Choosing Spectre simulator

Cadence simulation setup (Normal)

Monte Carlo simulation

Choose setup model libraries 2

Browse and choose model file in the directory

Choosing model file,which contains all MOS,reg

Cadence simulation setup (Normal)

Monte Carlo simulation

Choose analysis to run 2

Choose output to plot 3

Create netlist and run

Set up analysis(dc,ac,sp etc

),create netlist and run simulator

Cadence simulation setup (Normal)

Monte Carlo simulation

Plotting results 1

Choose direct plot for analysis 2

Click to view the desired result

Analyze waveform

Cadence simulation setup (Normal)

Monte Carlo simulation

Monte Carlo modeling in Cadence spectre simulator

)according to process parameter

Design- Specific Section – designer according to his need can specify Monte Carlo analysis

For example in a current mirror circuit,matched transistors are used and designer can give some correlation factor between these matched transistor

Cadence simulation setup (Monte Carlo)

Monte Carlo simulation Typical Model File Process Section

All parameter sets to their nominal value ,no statistical variation defined

Model (NMOS’s Rg) is calculated using nominal parameter value

Cadence simulation setup (Monte Carlo)

Monte Carlo simulation Defining process,mismatch parameter as statistically assigned value Process Section Assesses the device mismatch on different die,

which could have gone through some different process parameters during fabrication

Variation defined as a distributed function

Assesses the device mismatch on same die,which could have gone through some different process parameter

Cadence simulation setup (Monte Carlo)

Monte Carlo simulation Design Specific Section

This includes the circuit connectivity(two resistors,

and corresponding current sources that feed them)

Defining correlation between two devices(R1,R2) † †Note :Alternatively this information can also be inserted through Artist Monte Carlo Tool

Cadence simulation setup (Monte Carlo)

Monte Carlo simulation

Model file used for LNA example

NoteThis is not based on foundry data but modeled for illustrative purposes

Cadence simulation setup (Monte Carlo)

Monte Carlo simulation After Initial design that meets the system requirement,statistical analysis must have to be carried out

Make sure the addition of process and mismatch parameter section in model file

Make certain to include the particular section (for exa

Stats in spectre) in simulation model library

Go to toolMonte Carlo in affirma analog artist Cadence simulation setup (Monte Carlo)

Monte Carlo simulation Choose no of iteration(default=100)

Choose which variation to include Processdevice mismatch effect on two diff

Finally run the analysis

Mismatchdevice mismatch effect on same die 2

Click if you want to see the family of curve i

Define the expressions / signals on which Monte Carlo analysis will be performed

Note: calculator can also be used to get these expression Cadence simulation setup (Monte Carlo)

Monte Carlo simulation

(Analyzing waveform)

Matching S11

Process parameter and mismatch effect DEGRADES Input & Output matching N/W

DEGRADES Overall design performance (noise,gain etc

Normal simulation (without statistical variation)

Monte Carlo Simulation (with statistical variation)

Monte Carlo simulation

(Analyzing waveform)

Matching(VSWR):It tells how well input and output N/W are matched

Variations in VSWR VSWR2

Normal simulation

Monte Carlo simulation

Monte Carlo simulation

(Analyzing waveform)

Matching(forward and reverse transmission gain)

S12 It has deteriorated the performance significantly,

as a minimum S12 and maximum S21 value is desirable

Normal simulation

Monte Carlo simulation

Monte Carlo simulation

(Analyzing waveform)

Stability:A Kf value >1,is desired for an stable amplifier Kf value has become