Title

Digital Predistortion for Spectrum Compliance in the Internet of Things

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

DOI

10.1007/s10836-018-5729-6

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