Accuracy estimation of microwave performance for InP HBTs based on Monte-Carlo analysis
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Affiliation:

School of Physics and Electronic Sciences, East China Normal University, Shanghai 200241, China

Clc Number:

TN386.6

Fund Project:

Supported by the National Natural Science Foundation of China (61774058); National Natural Science Foundation of China (62034003)

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    Abstract:

    In order to verify the reliability of the circuit, the microwave performance for InP HBTs is analyzed based on Monte-Carlo method. The larger the fluctuation range is, the higher the accuracy of extracting intrinsic parameters is required. The allowable accuracy range can be inferred from the output performance. The microwave characteristics are composed of modeled S-parameters, current gain cut-off frequency and maximum oscillation frequency. The standard deviation of Monte-Carlo numerical analysis can be derived from the uncertainty curve of the intrinsic parameters of the π-topology small signal model. The results of Monte-Carlo analysis show that the requirements for the accuracy of measurement parameters are quite different under different frequencies and bias conditions, which verifies the reliability of the circuit under different conditions.

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CAO Ke-Jing, ZHANG Ao, GAO Jian-Jun. Accuracy estimation of microwave performance for InP HBTs based on Monte-Carlo analysis[J]. Journal of Infrared and Millimeter Waves,2022,41(2):430~436

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History
  • Received:June 30,2021
  • Revised:March 31,2022
  • Adopted:August 09,2021
  • Online: March 31,2022
  • Published: