Abstract
This paper proposes a multiobjective Bayesian optimization strategy to deal with the complex matching problem of designing a broadband 20-W gallium nitride Doherty power amplifier (DPA). Applying the proposed method, the DPA’s matching networks are optimized to align the desired and the realized impedance trajectories both at saturation and power backoff from 1.5 to 2.4 GHz. By combining a programming environment with the commercial electronic design automation (EDA) software, the optimization process is implemented automatically. Comparison designs reveal that the proposed method outperforms the built-in optimizer of the commercial EDA software for broadband DPA designs. When tested with a single-carrier 20 MHz long-term evolution signal, the measured results show that the DPA achieves an average efficiency of 45.3%–53.6% at 7 dB backoff across the band, with the adjacent channel power ratio levels better than −45.6 dBc after using digital predistortion.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Microwave Theory and Techniques
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
