Digital Predistortion for Spectrum Compliance in the Internet of Things

Authors

Siyuan Yan, Portland State University
Xiao Li, Portland State University
Changhong Jiang, Changchun University of TechnologyFollow
Hui Li, Changchun University of Technology
Lingmei Wang, Shanxi University
Fu Li, Portland State UniversityFollow

Published In

Journal of Electronic Testing

Document Type

Citation

Publication Date

6-18-2018

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.

Description

Online ISSN 1573-0727 Issue 5

Locate the Document

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

DOI

10.1007/s10836-018-5729-6

Persistent Identifier

https://archives.pdx.edu/ds/psu/27059

Citation Details

Yan, S., Li, X., Jiang, C., Li, H., Wang, L., & Li, F. (2018). Digital Predistortion for Spectrum Compliance in the Internet of Things. Journal of Electronic Testing, 1-8.