Open AccessAccuracy improvement of small‐signal model minimising parameter sensitivity based on de‐embedded sub‐model method at W‐band
Author(s) -
Nguyen Tung TheLam,
Kim SamDong
Publication year - 2016
Publication title -
iet microwaves, antennas and propagation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.555
H-Index - 69
eISSN - 1751-8733
pISSN - 1751-8725
DOI - 10.1049/iet-map.2014.0349
Subject(s) - sensitivity (control systems) , coplanar waveguide , small signal model , signal (programming language) , parasitic element , equivalent circuit , inductance , transistor , electronic engineering , scattering parameters , large signal model , estimation theory , materials science , physics , computer science , engineering , algorithm , electrical engineering , power (physics) , telecommunications , quantum mechanics , voltage , microwave , programming language
A highly reliable small‐signal parameter extraction method for parasitic elements of the 0.1‐µm GaAs metamorphic high electron mobility transistors is presented. De‐embedding scheme for the coplanar waveguide (CPW) feeding structure is utilised in this method in a frequency range of 0.5–110 GHz with an enhancement approach to the correction of source inductance parameter sensitivity derived from oscillating measurements. The parasitic extrinsic capacitances are determined by modelling an ∏ equivalent circuit including the interaction between the sub‐model and the CPW feedings. From this method, the authors achieved the most accurate parameter prediction with an effective fitting error of 10.83% among the small‐signal models reported to date.