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Digital Predistortion for Spectrum Compliance in the Internet of Things

Journal of Electronic Testing volume 34, pages 255–262 (2018)Cite this article

Abstract

Many different wireless personal communication technologies including Bluetooth, ZigBee, Wi-Fi, even LTE-M, can connect Internet of Things (IoT) products, such as personal electronics or industrial machine sensors. However, the nonlinearity and linear distortion produced by RF power amplifiers (PAs) will degrade the quality of transmitted signals. In this article, based on an inverse autoregressive moving-average (IM-ARMA) model, we applied a method of digital predistortion (DPD) to linearize the RF PAs for several typical protocols in the IoT.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Portland State University, Portland, OR, 97207-0751, USA

    Siyuan Yan, Xiao Li & Fu Li

  2. Institute of Electrical and Electronic Engineering, Changchun University of Technology, 2055, Yan’an St, Changchun, 130012, Jilin, China

    Changhong Jiang & Hui Li

  3. Institute of Green Energy and Electrical Power Intelligent Control, Shanxi University, 36, Honggou South St, Taiyuan, 030013, Shanxi, China

    Lingmei Wang

Authors
  1. Siyuan Yan
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  2. Xiao Li
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  3. Changhong Jiang
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  4. Hui Li
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  5. Lingmei Wang
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  6. Fu Li
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Correspondence to Fu Li.

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Responsible Editors: M. Barragan and K. Huang

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Yan, S., Li, X., Jiang, C. et al. Digital Predistortion for Spectrum Compliance in the Internet of Things. J Electron Test 34, 255–262 (2018). https://doi.org/10.1007/s10836-018-5729-6

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  • DOI: https://doi.org/10.1007/s10836-018-5729-6

Keywords

  • IoT
  • Wireless communication
  • DPD
  • Envelope modulation
  • LTE-M