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作者:

Zhang, Yimin (Zhang, Yimin.) | Feng, Feng (Feng, Feng.) | Zhang, Jianan (Zhang, Jianan.) | Na, Weicong (Na, Weicong.) | Yan, Shuxia (Yan, Shuxia.) | Ma, Kaixue (Ma, Kaixue.)

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EI Scopus

摘要:

Yield optimization aims to find high-yield designs of microwave components under the uncertainties in the production process. However the Monte Carlo-based yield optimization requires extensive electromagnetic (EM) simulations. In this paper, the polynomial chaos (PC) expansion is used to construct the surrogate model of the EM responses. By combining the PC coefficients with the objective function, the objective function is related to the optimization variable. This approach allows for reliable yields and uses fewer EM simulations compared to the Monte Carlo-based yield optimization method. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词:

Computational electromagnetics Monte Carlo methods Polynomials Microwave filters

作者机构:

  • [ 1 ] [Zhang, Yimin]School of Microelectronics, Tianjin University, Tianjin, China
  • [ 2 ] [Feng, Feng]School of Microelectronics, Tianjin University, Tianjin, China
  • [ 3 ] [Zhang, Jianan]Southeast University, State Key Laboratory of Millimeter Waves, Nanjing, China
  • [ 4 ] [Na, Weicong]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 5 ] [Yan, Shuxia]School of Electrical and Electronic Engineering, Tiangong University, Tianjin, China
  • [ 6 ] [Ma, Kaixue]School of Microelectronics, Tianjin University, Tianjin, China

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年份: 2023

语种: 英文

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SCOPUS被引频次: 1

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