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    Low-complexity, Multi Sub-band Digital Predistortion: Novel Algorithms and SDR Verification

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    Author
    Tarver, Chance; Abdelaziz, Mahmoud; Anttila, Lauri; Cavallaro, Joseph R.
    Date
    2017
    Abstract
    The nonlinearities of power amplifiers combined with non-contiguous transmissions found in modern, frequency-agile, wireless standards create undesirable spurious emissions through the nearby spectrum of data carriers. Digital predistortion (DPD) is an effective way of combating spurious emission violations without the need for a significant power reduction in the transmitter leading to better power efficiency and network coverage. In this paper, an iterative, multi sub-band version of the sub-band DPD, proposed earlier by the authors, is presented. The DPD learning is iterated over intermodulation distortion (IMD) sub-bands until a satisfactory performance is achieved for each of them. A sequential DPD learning procedure is also presented to reduce the hardware complexity when higher order nonlinearities are incorporated in the DPD learning. Improvements in the convergence speed of the adaptive DPD learning are also achieved via incorporating a variable learning rate and interpolation of previously trained DPD coefficients. A WarpLab implementation of the proposed DPD is also shown with excellent suppression of the targeted spurious emissions.
    Citation
    Tarver, Chance, Abdelaziz, Mahmoud, Anttila, Lauri, et al.. "Low-complexity, Multi Sub-band Digital Predistortion: Novel Algorithms and SDR Verification." Journal of Signal Processing Systems, (2017) Springer: https://doi.org/10.1007/s11265-017-1303-1.
    Published Version
    https://doi.org/10.1007/s11265-017-1303-1
    Keyword
    adaptive filters; carrier aggregation; digital predistortion; nonlinear distortion; power amplifier; More... software-defined radio; spectrally-agile radio; spurious emission Less...
    Type
    Journal article
    Publisher
    Springer
    Citable link to this page
    https://hdl.handle.net/1911/98868
    Rights
    This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Springer.
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    • ECE Publications [1443]
    • Faculty Publications [4990]

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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map