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A 0.6–2.4 GHz Broadband GaN HEMT Power Amplifier with 79.8% Maximum Drain Efficiency

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Abstract

A highly efficient and broadband 10 W GaN HEMT power amplifier (PA) is presented, which employs the hybrid PA mode, transferring between continuous Class-F, continuous Class-B/J and continuous inverse Class-F. A GaN PA is designed and realized based on this mode-transferring operation using low-pass filter output matching network. The maximum theoretical efficiency of this hybrid continuous modes PA is more than 78.5%. Specifically, the operating bandwidth is determined by the low pass filter output matching network and the theoretical bandwidth can achieved multi-octave. The proposed design strategy is experimentally verified by a 0.6–2.4 GHz PA design with 79.8% maximum drain efficiency and 10 W output power. The footprint of the fabricated PA is 75 mm \(\times \) 40 mm.

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Acknowledgments

This work was supported by the Key projects of natural science of Anhui Provincial Education Department (grant. KJ2015A292, KJ2015A202), the Science and Technology Project of Anhui Province, China (grant. 1708085QF150, 1501021041) and National Natural Science Foundation of China (grant. 61601166, 51477039), Scientific Research Starting Foundation for New Teachers of Hefei Normal University (No. 2015rcjj05).

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Correspondence to Chun Ni .

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ni, C., Zhang, Z., Kong, M., Chen, M., Wang, H., Wu, X. (2017). A 0.6–2.4 GHz Broadband GaN HEMT Power Amplifier with 79.8% Maximum Drain Efficiency. In: Chen, F., Luo, Y. (eds) Industrial IoT Technologies and Applications. Industrial IoT 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-319-60753-5_23

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  • DOI: https://doi.org/10.1007/978-3-319-60753-5_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60752-8

  • Online ISBN: 978-3-319-60753-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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