Madhuwantha, Sidath, Ramabadran, Prasidh, Farrell, Ronan and Dooley, John (2019) Novel Calibration Technique for Wideband Transmitters using Constellation Mapping. In: 2019 92nd ARFTG Microwave Measurement Conference (ARFTG). IEEE. ISBN 9781538665992
Preview
RF_Novel.pdf
Download (965kB) | Preview
Abstract
Next generation wireless communication systems
such as 5G will feature a step increase in the speed of wireless
data transmission. This requires using RF signals of wider
bandwidths along with higher order modulation schemes. Such
signals are subjected to frequency and power dependent
impairments such as gain compression, amplitude ripple and tilt,
group-delay and AM-PM conversion as they traverse through the
transmitter’s hardware blocks. This paper introduces a novel
calibration scheme that applies a specially designed wideband 64-
QAM modulated stimulus and uses the captured response to
evaluate the impairments within the transmitter’s RF chain. The
needed pre-compensation is applied in a single iteration. This
technique is intended for use with Doherty, Outphasing and
MIMO type applications. Presented technique was
experimentally validated using signal bandwidths up to 100 MHz
for both weakly and strongly nonlinear systems.
Item Type: | Book Section |
---|---|
Additional Information: | Funding: This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077. Cite as: S. Madhuwantha, P. Ramabadran, R. Farrell and J. Dooley, "Novel Calibration Technique for Wideband Transmitters Using Constellation Mapping," 2019 92nd ARFTG Microwave Measurement Conference (ARFTG), Orlando, FL, USA, 2019, pp. 1-4, doi: 10.1109/ARFTG.2019.8637231. |
Keywords: | wideband; vector; calibration; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 14229 |
Identification Number: | 10.1109/ARFTG.2019.8637231 |
Depositing User: | Ronan Farrell |
Date Deposited: | 22 Mar 2021 16:51 |
Publisher: | IEEE |
Refereed: | Yes |
Funders: | Science Foundation Ireland (SFI), European Regional Development Fund |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/14229 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year