Varahram, Pooria and Dooley, John and Wang, Ziming and Finnerty, Keith and Farrell, Ronan
(2017)
A Low Complexity NARX Structure using Indirect
Learning Architecture for Digital Pre-Distortion.
In: RIA Research Colloquium: Communications and Radio Science for a Smarter World, March 2017, RIA, Dawson Street, Dublin.
(Unpublished)
Abstract
In this paper, we demonstrate a nonlinear
autoregressive with exogenous input (NARX) DPD technique
which is more compact, less computationally intensive and less
susceptible to errors caused by noise in the PA output compared
to an equivalent memory polynomial based DPD. Experimental
validation is performed with a 20 MHz LTE signal for a GaN
Doherty power amplifier.
| Item Type: |
Conference or Workshop Item
(Paper)
|
| Keywords: |
power amplifier; nonlinear autoregressive;
exogenous inputs; digital pre-distortion; indirect learning
architecture; |
| Academic Unit: |
Faculty of Science and Engineering > Electronic Engineering |
| Item ID: |
9030 |
| Depositing User: |
Ronan Farrell
|
| Date Deposited: |
24 Nov 2017 11:03 |
| Refereed: |
No |
| URI: |
|
| 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)
 |
Item control page |
Downloads per month over past year
Origin of downloads
Altmetric
Altmetric