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    Single Digital Predistortion Technique for Phased Array Linearization


    Hesami, Sara and Aghdam, Sina Rezaei and Fager, Christian and Eriksson, Thomas and 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
    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: https://doi.org/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
    URI:

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