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Part of book or chapter of book . 2024 . Peer-reviewed
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Digital predistortion for power amplifiers

Authors: Gilabert Pinal, Pere Lluís; Montoro López, Gabriel;

Digital predistortion for power amplifiers

Abstract

The power amplier (PA) is one of the most critical subsystems in wireless (and wired) trans- mitters. Not only is it one of the most power hungry devices that accounts for most of the direct current (DC) power consumed in macro base stations, but also it is the main source of nonlinear distortion in the transmitter. When the information to be transmitted is included in both amplitude and phase, as is the case of modern digital communication modulations, the non-constant amplitude modulated waveforms present a certain peak-to-average power ratio (PAPR). As shown in Figure 1.1, in order to prevent the peaks of the RF modulated signal going into compression it is necessary to operate with certain input or output back-o (IBO and OBO, respectively), i.e., dBs of separation from the PA compression point. Therefore, to avoid generating nonlinear distortion (e.g., due to clipping the signal peaks) the PA has to be operated with back-o levels equivalent to the signal's PAPR. As depicted in Figure 1.1, this has a negative impact in the transmitter's mean power eciency, because the PA power eciency is always greater at high power levels. This inherent linearity versus eciency trade-o is more evident when considering orthogonal frequency division multiplexing (OFDM)-based waveforms (e.g., such as the ones considered in 4G, 5G New Radio) presenting high PAPR and operating linear but low-ecient class-A or class-AB PAs.

Peer Reviewed

Country
Spain
Related Organizations
Keywords

Learning approaches, Parameter identification, Power amplifiers, Overfitting prevention, Wireless communication, Predistortion optimization, Efficiency, DPD algorithms, Computational complexity, Digital predistortion, Linearity, Regularization techniques, Modern communication systems, Feature selection, Behavioral models, Trade-off analysis, Feature extraction, Modeling performance

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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