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        Advanced Digital Predistortion Algorithms for modern Base-Station Front-Ends

        A physically motivated approach

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        Author(s)
        Donati, Giovanni
        Language
        English
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        Abstract
        The power amplifier (PA) is the key component of the transmit chain in a mobile telecommunication system. It allows the coverage of a wide service area but it’s non-linear effects need to be compensated in order to obtain high linearity and efficiency without introducing interference on the adjacent channels. Digital Pre-Distortion (DPD) is the commonly used solution to overcome these problems. The The LTE system makes use of OFDM modulation used in modern systems, provides signals with wide bandwidth, but low average power, thus common PA designs achieve low average efficiency. Dual-input Doherty power amplifiers with digital steering introduce new degrees of freedom in terms of linearization and reconfiguration. This work analyzes the tradeoffs between linearity, efficiency and linearization bandwidth, when digitally driving the DPA inputs separately. The knowledge of the physics of the devices allows to design a workflow to linearize the dual-input DPA obtaining high efficiency and reconfigurability. In this work an application of a bio inspired optimization algorithm show how to calibrate the DPD directly at the base-station.
        URI
        https://library.oapen.org/handle/20.500.12657/109139
        Keywords
        Vorverzerrung; Power Amplifier Linearization; Partikel-Schwarm-Optimierung; Basisstation; PA-Anlage; OFDM; Leistungsverstärker; Algorithmus; Digital Signal Processing
        DOI
        10.25593/978-3-96147-081-5
        ISBN
        9783961470815, 9783961470815, 9783961470808
        Publisher
        FAU University Press
        Publisher website
        https://www.university-press.fau.de/
        Publication date and place
        Erlangen, 2018
        Series
        FAU Studien aus der Elektrotechnik, 11
        Classification
        Technology, Engineering, Agriculture, Industrial processes
        Pages
        117
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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