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Extraction of nonlinear Taylor series coefficients for GaN HEMT over multi-bias condition
- Source :
- Microelectronics Journal, Microelectronics Journal, Elsevier, 2020, 96, 104700, 6 p. ⟨10.1016/j.mejo.2020.104700⟩, Microelectronics Journal, 2020, 96, 104700, 6 p. ⟨10.1016/j.mejo.2020.104700⟩
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- International audience; Taylor Series coefficients (TSCs) are one of the main factors behind the device's nonlinearity. Mull-bias behaviour of TSCs for GaN HEMT has been extracted using two-tone technique. To extract the higher-order TSCs of the output current, two-tone intermodulation distortion (IMD) measurement along with properly designed load impedance is used at low frequency (50 and 51 MHz) for the accurate prediction of the cross-term derivatives. For the extraction of TSCs of the nonlinear output current, Volterra series analysis is utilized for the accurate reproduction of the harmonic component. Finally, the verification between the measured and simulated IMD products shows good agreement. This simple and straightforward method is utilized successfully for nonlinearity analysis.
- Subjects :
- Materials science
020208 electrical & electronic engineering
Mathematical analysis
General Engineering
Volterra series
020206 networking & telecommunications
02 engineering and technology
Input impedance
High-electron-mobility transistor
Low frequency
Multi-bias behaviour
GaN FET
symbols.namesake
Nonlinear system
[SPI]Engineering Sciences [physics]
0202 electrical engineering, electronic engineering, information engineering
Taylor series
symbols
Harmonic
Factors of nonlinearity
Taylor series coefficients
Intermodulation
Subjects
Details
- Language :
- English
- ISSN :
- 00262692
- Database :
- OpenAIRE
- Journal :
- Microelectronics Journal, Microelectronics Journal, Elsevier, 2020, 96, 104700, 6 p. ⟨10.1016/j.mejo.2020.104700⟩, Microelectronics Journal, 2020, 96, 104700, 6 p. ⟨10.1016/j.mejo.2020.104700⟩
- Accession number :
- edsair.doi.dedup.....8f99fdb3d6abd90ea1c3bf47e9baf37f