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    Novel Calibration Technique for Wideband Transmitters using Constellation Mapping


    Madhuwantha, Sidath, Ramabadran, Prasidh, Farrell, Ronan and Dooley, John (2019) Novel Calibration Technique for Wideband Transmitters using Constellation Mapping. In: 2019 92nd ARFTG Microwave Measurement Conference (ARFTG). IEEE. ISBN 9781538665992

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    Abstract

    Next generation wireless communication systems such as 5G will feature a step increase in the speed of wireless data transmission. This requires using RF signals of wider bandwidths along with higher order modulation schemes. Such signals are subjected to frequency and power dependent impairments such as gain compression, amplitude ripple and tilt, group-delay and AM-PM conversion as they traverse through the transmitter’s hardware blocks. This paper introduces a novel calibration scheme that applies a specially designed wideband 64- QAM modulated stimulus and uses the captured response to evaluate the impairments within the transmitter’s RF chain. The needed pre-compensation is applied in a single iteration. This technique is intended for use with Doherty, Outphasing and MIMO type applications. Presented technique was experimentally validated using signal bandwidths up to 100 MHz for both weakly and strongly nonlinear systems.
    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. Madhuwantha, P. Ramabadran, R. Farrell and J. Dooley, "Novel Calibration Technique for Wideband Transmitters Using Constellation Mapping," 2019 92nd ARFTG Microwave Measurement Conference (ARFTG), Orlando, FL, USA, 2019, pp. 1-4, doi: 10.1109/ARFTG.2019.8637231.
    Keywords: wideband; vector; calibration;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14229
    Identification Number: 10.1109/ARFTG.2019.8637231
    Depositing User: Ronan Farrell
    Date Deposited: 22 Mar 2021 16:51
    Publisher: IEEE
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI), European Regional Development Fund
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/14229
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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