Characterization and Linearization of 5G mm-Wave Power Amplifiers Using Reduced-Sampling Observation Receiver
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Date
2017-08-24
Authors
Beltagy, Yehia
Advisor
Boumaiza, Slim
Journal Title
Journal ISSN
Volume Title
Publisher
University of Waterloo
Abstract
In this work, an advanced calibration routine is proposed to determine the frequency response of a feedback receiver over a targeted linearization bandwidth, when only sub-Nyquist (aliased) samples are available. A new approach is then devised to apply a direct learning algorithm along with the proposed receiver calibration routine, and thus linearize a millimeter wave power amplifier (PA), driven by a modulated signal, using digital pre-distortion (DPD) with a reduced feedback sampling rate. The proposed new calibration routine and DPD approach are successfully applied to linearize a PA under test, operating at 24 GHz and driven by single carrier 16-QAM and carrier aggregated LTE signals of 200MHz modulation bandwidth using a feedback receiver with sampling rates of 2 Gsps, 1 Gsps and 500 Msps. Adjacent channel power ratio of about 49 dBc and normalized mean square error of about 2% are obtained at the linearized PA output using the three sampling rates.
Description
Keywords
5G mobile communication, power amplifier, pre-distortion, receiver calibration, comb generator