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A 0.5-3 GHz Broadband High-Efficiency Power Amplifier Based on an Automated Design Method

  • School of Electronics and Information Engineering, Harbin Institute of Technology

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

Abstract

This paper proposes an automated power amplifier (PA) design method based on deep learning (DL). The Sparameters of microstrip lines (MLs) are predicted using DL. Subsequently, the S-parameters of the matching network (MN) are calculated by cascading microwave networks. The automated synthesis of the output matching network (OMN) is achieved using the simulated annealing (SA) algorithm. Utilizing the proposed method, a 0.5-3 GHz PA is implemented with a 10 W GaN transistor. Within the operating frequency band, the output power ranges from 41.2 to 42.8 dBm, with a power gain exceeding 11 dB. The drain efficiency (DE) ranges from 58% to 73%, with an average value of 65.4%.

Original languageEnglish
Title of host publication2025 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2025 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Edition2025
ISBN (Electronic)9798331525736
DOIs
StatePublished - 2025
Externally publishedYes
Event16th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2025 - Xi�an, China
Duration: 19 May 202522 May 2025

Conference

Conference16th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2025
Country/TerritoryChina
CityXi�an
Period19/05/2522/05/25

Keywords

  • GaN
  • automated design
  • broadband power amplifier (BPA)
  • deep learning (DL)
  • multi-octave

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