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Hybrid small-signal model parameter extraction for GaN HEMT-on-Si Substrates based on the SPF method.
- Source :
- Journal of Computational Electronics; Jun2024, Vol. 23 Issue 3, p516-524, 9p
- Publication Year :
- 2024
-
Abstract
- This article proposes a parameter extraction method suitable for Si substrate based GaN HEMT small signal equivalent circuit models. The proposed method is based on a swarm intelligence optimization algorithm, which improves efficiency and accuracy by introducing a slope penalty factor (SPF) method for the objective function, rather than simply minimizing the error between simulation and measurement. By using PSO, WOA, and PNC-WOA for validation, we have demonstrated the advantages of the SPF method in extracting small signal parameters using swarm intelligence optimization algorithms. It is suitable for complex small-signal models that can describe the GaN HEMT-on-Si substrates, even if working up to 40 GHz. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15698025
- Volume :
- 23
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Computational Electronics
- Publication Type :
- Academic Journal
- Accession number :
- 177898397
- Full Text :
- https://doi.org/10.1007/s10825-024-02168-3