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Augmented twin-nonlinear two-box behavioral models for multicarrier LTE power amplifiers.

Hammi O - ScientificWorldJournal (2014)

Bottom Line: A novel class of behavioral models is proposed for LTE-driven Doherty power amplifiers with strong memory effects.When strong memory effects are observed, the augmented twin-nonlinear two-box models can improve the normalized mean square error by up to 3 dB for the same number of coefficients when compared to state-of-the-art twin-nonlinear two-box models.Furthermore, the augmented twin-nonlinear two-box models lead to the same performance as previously reported twin-nonlinear two-box models while requiring up to 80% less coefficients.

View Article: PubMed Central - PubMed

Affiliation: Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.

ABSTRACT
A novel class of behavioral models is proposed for LTE-driven Doherty power amplifiers with strong memory effects. The proposed models, labeled augmented twin-nonlinear two-box models, are built by cascading a highly nonlinear memoryless function with a mildly nonlinear memory polynomial with cross terms. Experimental validation on gallium nitride based Doherty power amplifiers illustrates the accuracy enhancement and complexity reduction achieved by the proposed models. When strong memory effects are observed, the augmented twin-nonlinear two-box models can improve the normalized mean square error by up to 3 dB for the same number of coefficients when compared to state-of-the-art twin-nonlinear two-box models. Furthermore, the augmented twin-nonlinear two-box models lead to the same performance as previously reported twin-nonlinear two-box models while requiring up to 80% less coefficients.

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Related in: MedlinePlus

Block diagram of the proposed augmented reverse twin-nonlinear two-box model.
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Related In: Results  -  Collection


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fig2: Block diagram of the proposed augmented reverse twin-nonlinear two-box model.

Mentions: In this paper, the augmented twin-nonlinear two-box models are obtained by connecting the memoryless nonlinear function, implemented as a look-up table, and the dynamic nonlinear function, implemented using a memory polynomial function with cross terms, in a cascaded fashion. The augmented forward twin-nonlinear two-box model is obtained when the LUT precedes the memory polynomial function as illustrated in Figure 1. Conversely, the augmented reverse twin-nonlinear two-box model is obtained when the memory polynomial function is connected upstream of the LUT as shown in Figure 2.


Augmented twin-nonlinear two-box behavioral models for multicarrier LTE power amplifiers.

Hammi O - ScientificWorldJournal (2014)

Block diagram of the proposed augmented reverse twin-nonlinear two-box model.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3927868&req=5

fig2: Block diagram of the proposed augmented reverse twin-nonlinear two-box model.
Mentions: In this paper, the augmented twin-nonlinear two-box models are obtained by connecting the memoryless nonlinear function, implemented as a look-up table, and the dynamic nonlinear function, implemented using a memory polynomial function with cross terms, in a cascaded fashion. The augmented forward twin-nonlinear two-box model is obtained when the LUT precedes the memory polynomial function as illustrated in Figure 1. Conversely, the augmented reverse twin-nonlinear two-box model is obtained when the memory polynomial function is connected upstream of the LUT as shown in Figure 2.

Bottom Line: A novel class of behavioral models is proposed for LTE-driven Doherty power amplifiers with strong memory effects.When strong memory effects are observed, the augmented twin-nonlinear two-box models can improve the normalized mean square error by up to 3 dB for the same number of coefficients when compared to state-of-the-art twin-nonlinear two-box models.Furthermore, the augmented twin-nonlinear two-box models lead to the same performance as previously reported twin-nonlinear two-box models while requiring up to 80% less coefficients.

View Article: PubMed Central - PubMed

Affiliation: Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.

ABSTRACT
A novel class of behavioral models is proposed for LTE-driven Doherty power amplifiers with strong memory effects. The proposed models, labeled augmented twin-nonlinear two-box models, are built by cascading a highly nonlinear memoryless function with a mildly nonlinear memory polynomial with cross terms. Experimental validation on gallium nitride based Doherty power amplifiers illustrates the accuracy enhancement and complexity reduction achieved by the proposed models. When strong memory effects are observed, the augmented twin-nonlinear two-box models can improve the normalized mean square error by up to 3 dB for the same number of coefficients when compared to state-of-the-art twin-nonlinear two-box models. Furthermore, the augmented twin-nonlinear two-box models lead to the same performance as previously reported twin-nonlinear two-box models while requiring up to 80% less coefficients.

Show MeSH
Related in: MedlinePlus