Hesami, Sara, Aghdam, Sina Rezaei, Fager, Christian, Eriksson, Thomas, Farrell, Ronan and Dooley, John (2019) Single Digital Predistortion Technique for Phased Array Linearization. In: 2019 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE. ISBN 9781728103976
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Abstract
In this paper, we present a novel and effective
linearization technique for nonlinear phased array antennas.
For large phased arrays, linearization of the array using a
single digital predistortion (DPD) is inevitable since one digital
path is upconverted and feeds several RF transmission paths,
each of which is connected to a power amplifier (PA) and
an antenna element. However, a critical issue is that the PA
characteristics can vary considerably within an array. Thus,
linearizing individual PAs with one DPD is rather challenging. We
formulate and solve an optimization problem that corresponds to
jointly minimizing the maximum residuals between the input to
the array and the output of individual PAs. We demonstrate that
the proposed technique outperforms state-of-the-art linearization
solutions while retaining the linear gain of the array.
Item Type: | Book Section |
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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. Hesami, S. R. Aghdam, C. Fager, T. Eriksson, R. Farrell and J. Dooley, "Single Digital Predistortion Technique for Phased Array Linearization," 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 2019, pp. 1-5, doi: 10.1109/ISCAS.2019.8702811. |
Keywords: | digital predistortion; linearization; phased array; single DPD; MIMO; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 14231 |
Identification Number: | 10.1109/ISCAS.2019.8702811 |
Depositing User: | Ronan Farrell |
Date Deposited: | 23 Mar 2021 16:19 |
Publisher: | IEEE |
Refereed: | Yes |
Funders: | Science Foundation Ireland (SFI), European Regional Development Fund |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/14231 |
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 |
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