A Statistical Approach to Analyze the Impact of Random Discrete Dopant (RDD) and Oxide Thickness Variation (OTV) on the Performance of a Low Power Folded Cascode OTA

The proposed work endeavours to present a statistical study to determine the nature of variation of the major performance parameter i.e. voltage gain of a low power Folded Cascode Operational Transconductance Amplifier (OTA) subject to variations of the two major process parameters-threshold voltage...

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Published inDevices for Integrated Circuit pp. 343 - 347
Main Authors Dutta, Tanusree, Sarkhel, Saheli, Banerjee, Soham, Pandit, Soumya
Format Conference Proceeding
LanguageEnglish
Published IEEE 05.04.2025
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Abstract The proposed work endeavours to present a statistical study to determine the nature of variation of the major performance parameter i.e. voltage gain of a low power Folded Cascode Operational Transconductance Amplifier (OTA) subject to variations of the two major process parameters-threshold voltage (V th ) and gate oxide thickness (t ox ). The process parameter variations are considered to follow a normal distribution about a mean value with a 3% standard deviation. The OTA circuit is simulated in Spice environment using Python script to generate the entire data set for V th and t ox variations. The OTA gain from the generated data set is analyzed statistically using R programming to determine its nature of variation and is compared with three standard distributions: normal, lognormal and Weibull. The study reveals that the nature of variation of OTA gain due to V th variation follows a normal distribution where OTA gain due to t ox variation follows a Weibull distribution.
AbstractList The proposed work endeavours to present a statistical study to determine the nature of variation of the major performance parameter i.e. voltage gain of a low power Folded Cascode Operational Transconductance Amplifier (OTA) subject to variations of the two major process parameters-threshold voltage (V th ) and gate oxide thickness (t ox ). The process parameter variations are considered to follow a normal distribution about a mean value with a 3% standard deviation. The OTA circuit is simulated in Spice environment using Python script to generate the entire data set for V th and t ox variations. The OTA gain from the generated data set is analyzed statistically using R programming to determine its nature of variation and is compared with three standard distributions: normal, lognormal and Weibull. The study reveals that the nature of variation of OTA gain due to V th variation follows a normal distribution where OTA gain due to t ox variation follows a Weibull distribution.
Author Sarkhel, Saheli
Banerjee, Soham
Pandit, Soumya
Dutta, Tanusree
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  surname: Dutta
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  givenname: Saheli
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  givenname: Soham
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  givenname: Soumya
  surname: Pandit
  fullname: Pandit, Soumya
  email: sprpe@caluniv.ac.in
  organization: University of Calcutta,Institute of Radio Physics and Electronics,Kolkata,India
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Snippet The proposed work endeavours to present a statistical study to determine the nature of variation of the major performance parameter i.e. voltage gain of a low...
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StartPage 343
SubjectTerms Gaussian distribution
Logic gates
Nanoscale devices
normal distribution
oxide thickness variation
Random discrete dopant
Thickness measurement
Threshold voltage
Transconductance
Very large scale integration
Voltage measurement
Weibull distribution
Title A Statistical Approach to Analyze the Impact of Random Discrete Dopant (RDD) and Oxide Thickness Variation (OTV) on the Performance of a Low Power Folded Cascode OTA
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