Published June 2018
| Version v1
Journal article
Digital Predistortion for Spectrum Compliance in the Internet of Things
- 1. Portland State University, Department of Electrical and Computer Engineering (United States)
- 2. Changchun University of Technology, Institute of Electrical and Electronic Engineering (China)
- 3. Shanxi University, Institute of Green Energy and Electrical Power Intelligent Control (China)
Description
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.
Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Electronic Testing (Online)
- Journal Volume
- 34
- Journal Issue
- 3
- Journal Page Range
- p. 255-262
- ISSN
- 1573-0727
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51009430
- Subject category
- S42: ENGINEERING;
- Descriptors DEI
- COMMUNICATIONS; INTERNET; MODULATION; NONLINEAR PROBLEMS; POWER AMPLIFIERS; SENSORS; SIGNALS
- Descriptors DEC
- AMPLIFIERS; COMPUTER NETWORKS; ELECTRONIC EQUIPMENT; EQUIPMENT
Optional Information
- Copyright
- Copyright (c) 2018 Springer Science+Business Media, LLC, part of Springer Nature
- Notes
- http://www.springer-ny.com