Decorrelation-Based Concurrent Digital Predistortion With a Single Feedback Path

Mahmoud Abdelaziz, Lauri Anttila, Adnan Kiayani, Mikko Valkama

    Research output: Contribution to journalArticleScientificpeer-review

    25 Citations (Scopus)
    19 Downloads (Pure)


    In this paper, a novel decorrelation-based concurrent digital predistortion (DPD) solution is proposed for dual-band transmitters (TXs) employing a single wideband power amplifier (PA), and utilizing only a single feedback receiver path. The proposed decorrelation-based parameter learning solution is both flexible and simple, and operates in a closed-loop manner, opposed to the widely applied indirect learning architecture. The proposed decorrelation-based learning and DPD processing can also be effectively applied to more ordinary single carrier/band transmissions, as well as generalized to more than two transmit bands. Through a comprehensive analysis covering both the DPD parameter learning and the main path processing, it is shown that the complexity of the proposed concurrent DPD is substantially lower compared with the other state-of-the-art concurrent DPD methods. Extensive set of simulation and RF measurement results are also presented, using base-station PAs as well as a commercial LTE-Advanced mobile PA, to evaluate and validate the effectiveness of the proposed DPD solution in various real world scenarios, incorporating both single-band and dual-band TX cases. The simulation and RF measurement results demonstrate excellent linearization performance of the proposed concurrent DPD, even outperforming current state-of-the-art methods, despite the significantly lower complexity.
    Original languageEnglish
    Pages (from-to)280-293
    Number of pages14
    JournalIEEE Transactions on Microwave Theory and Techniques
    Issue number1
    Early online date6 Jun 2017
    Publication statusPublished - 2018
    Publication typeA1 Journal article-refereed

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