Y. Campos-Roca scite author profile

A multibias approach for HEMT small-signal model extraction is proposed. The method is based on scaling rules and uses a hybrid direct extraction/particle swarm optimization approach. By the use of a reduced number of S-parameter measurements in the optimization procedure, the computational effort is kept low. The extraction procedure is verified with measurements on metamorphic HEMTs, leading to accurate and scalable models in the millimeter-wave range. Furthermore, the robustness of the proposed method against measurement uncertainties is verified by using PHEMT synthetic data, intentionally affected by errors

show abstract

GCPW GaAs Broadside Couplers at H-Band and Application to Balanced Power Amplifiers

Amado-Rey

Campos-Roca

Friesicke

et al. 2019

IEEE Trans. Microwave Theory Techn.

View full text Add to dashboard Cite

Multibias scalable HEMT small-signal modeling based on a hybrid direct extraction/particle swarm optimization approach

Campos-Roca¹,

Massler²,

Leuther³

2012

Microelectronics Journal

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Y. Campos-Roca

Addressing voice recording replications for Parkinson’s disease detection

A two-stage variable selection and classification approach for Parkinson’s disease detection by using voice recording replications

A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson’s disease

Direct extraction of nonlinear FET Q-V functions from time domain large signal measurements

A simplified broad-band large-signal nonquasi-static table-based FET model

Scalable HEMT small-signal model extraction based on a hybrid multibias approach

GCPW GaAs Broadside Couplers at H-Band and Application to Balanced Power Amplifiers

Multibias scalable HEMT small-signal modeling based on a hybrid direct extraction/particle swarm optimization approach

Contact Info

Product

Resources

About