蒙特卡洛分析(课堂PPT)
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3
Monte Carlo simulation(example) RF-front end (LNA)
➢ Knowing System requirement
➢ Initial design based on requirement like noise,gain,narrow or wide band.
➢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.
9
Cadence simulation setup (Monte Carlo)
Monte Carlo simulation
Typical Model File Process Section
1
1. All parameter sets to their nominal value ,no statistical variation defined
6
Cadence simulation setup (Normal)
Monte Carlo simulation
1.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
2. Model (NMOS’s Rg) is calculated using nominal parameter value
2
Cadence simulation setup (Monte Car1l0o)
Monte Carlo simulation
Defining process,mismatch parameter as statistically assigned value Process Section
5
Cadence simulation setup (Normal)
Monte Carlo simulation
1.Choose setup model libraries
2.Browse and choose model file in the directory
Choosing model file,which contains all MOS,reg.,cap model parameters.
start
System requirement Initial design
Statistical analysis include process, mismatch effects
Design
meets the
NO
goal ?
YES end
2
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
……for better yield and performance
--A tutorial
1
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
7
Cadence simulation setup (Normal)
Monte Carlo simulation
Plotting results 1.Choose direct plot for analysis 2.Click to view the desired result
3.Analyze waveform
➢ Some design may degrade in performance ➢Overall design yield could be unexpectedly low
Hence statistical analysis must find a high place in design cycle
Bias N/W
Input matching
Linearity
Output matching
Cascode arch.to reduce feedback capacitance
4
Monte Carlo simulation
1. Choosing affirma analog artist
2. Choosing Spectre simulator
8
Cadence simulation setup (Normal)
Monte Carlo simulation
Monte Carlo modeling in Cadence spectre simulator
➢ Process Section - describes manufacturing parameter,their statistical variation and a model for device that calculates its(width,length,cap,res. Etc.)according to process parameter.
Monte Carlo simulation(example) RF-front end (LNA)
➢ Knowing System requirement
➢ Initial design based on requirement like noise,gain,narrow or wide band.
➢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.
9
Cadence simulation setup (Monte Carlo)
Monte Carlo simulation
Typical Model File Process Section
1
1. All parameter sets to their nominal value ,no statistical variation defined
6
Cadence simulation setup (Normal)
Monte Carlo simulation
1.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
2. Model (NMOS’s Rg) is calculated using nominal parameter value
2
Cadence simulation setup (Monte Car1l0o)
Monte Carlo simulation
Defining process,mismatch parameter as statistically assigned value Process Section
5
Cadence simulation setup (Normal)
Monte Carlo simulation
1.Choose setup model libraries
2.Browse and choose model file in the directory
Choosing model file,which contains all MOS,reg.,cap model parameters.
start
System requirement Initial design
Statistical analysis include process, mismatch effects
Design
meets the
NO
goal ?
YES end
2
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
……for better yield and performance
--A tutorial
1
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
7
Cadence simulation setup (Normal)
Monte Carlo simulation
Plotting results 1.Choose direct plot for analysis 2.Click to view the desired result
3.Analyze waveform
➢ Some design may degrade in performance ➢Overall design yield could be unexpectedly low
Hence statistical analysis must find a high place in design cycle
Bias N/W
Input matching
Linearity
Output matching
Cascode arch.to reduce feedback capacitance
4
Monte Carlo simulation
1. Choosing affirma analog artist
2. Choosing Spectre simulator
8
Cadence simulation setup (Normal)
Monte Carlo simulation
Monte Carlo modeling in Cadence spectre simulator
➢ Process Section - describes manufacturing parameter,their statistical variation and a model for device that calculates its(width,length,cap,res. Etc.)according to process parameter.