A K-Band Frequency Doubler in 0.15-μ m GaAs pHEMT with an Autonomous Circuit for Stability Analysis

Kuan Hsueh Lu, Jyun Jia Huang, Wei Cheng Chen, Hong Yeh Chang, Yu Chi Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper, we present a K-band frequency doubler using 0.15-μ E-mode GaAs pHEMT with Gm-boosted technique. The input driving power decreases and the conversion gain enhances due to the boosted input voltage swing of the Gm-boosted technique. Furthermore, an autonomous circuit is employed for nonlinear stability analysis of the proposed frequency doubler, and the oscillation issue can be resolved. The chip size is 0.9 × 0.8m^2. As the measured output frequency is from 37 to 43 GHz, the proposed frequency doubler exhibits a conversion gain of 0.9 dB with an input power of 0 dBm, a 15% fractional bandwidth, and a maximum saturated output power of higher than 2 dBm. The circuit performance can be compared with the prior art, and the proposed design methodology can be applied for some nonlinear microwave circuits.

Original languageEnglish
Title of host publication2018 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538659717
DOIs
StatePublished - 5 Nov 2018
Event2018 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2018 - Melbourne, Australia
Duration: 15 Aug 201817 Aug 2018

Publication series

Name2018 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2018

Conference

Conference2018 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2018
Country/TerritoryAustralia
CityMelbourne
Period15/08/1817/08/18

Keywords

  • E-mode
  • frequency doubler
  • GaAs
  • Gm-boosted technique
  • microwave and MMW
  • MMIC
  • pHEMT

Fingerprint

Dive into the research topics of 'A K-Band Frequency Doubler in 0.15-μ m GaAs pHEMT with an Autonomous Circuit for Stability Analysis'. Together they form a unique fingerprint.

Cite this