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    Selection of Compressed Training Data for RF Power Amplifier Behavioral Modeling


    Wang, Ziming and Dooley, John and Finnerty, Keith and Farrell, Ronan (2015) Selection of Compressed Training Data for RF Power Amplifier Behavioral Modeling. Proceedings of the 10th European Microwave Integrated Circuits Conference.

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    Abstract

    In this paper, we present an algorithm which uses the probability information of the input signal to inform the selection of a compressed training dataset for RF PA behavioural model extraction. The proposed algorithm can dramatically reduce the number of training samples. The accuracy of this algorithm is validated by extraction of behavioural models using a large dataset of consecutive samples and a reduced training dataset determined using the proposed algorithm. A noticeable reduction in computational complexity and faster execution time is achieved with the new approach.

    Item Type: Article
    Keywords: Digital Predistortion; Behavioural Modelling; Least Square; Probability Distribution;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Callan Institute
    Faculty of Science and Engineering > Electronic Engineering
    Item ID: 6447
    Depositing User: Dr. Ronan Farrell
    Date Deposited: 07 Oct 2015 13:39
    Journal or Publication Title: Proceedings of the 10th European Microwave Integrated Circuits Conference
    Publisher: European Microwave Association
    Refereed: Yes
    URI:

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