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Digital Predistortion of Single and Concurrent Dual BandRadio Frequency GaN Amplifiers with Strong NonlinearMemory Effects

Amin, Shoaib (author)
Högskolan i Gävle,KTH,Signalbehandling,ACCESS Linnaeus Centre,University of Gävle, Sweden,Elektronik,Department of Signal Processing, School of Electrical Engineering, KTH
Händel, Peter (author)
KTH,Signalbehandling,ACCESS Linnaeus Centre,Department of Signal Processing, School of Electrical Engineering, KTH
Rönnow, Daniel (author)
Högskolan i Gävle,Elektronik
 (creator_code:org_t)
IEEE Press, 2017
2017
English.
In: IEEE transactions on microwave theory and techniques. - : IEEE Press. - 0018-9480 .- 1557-9670. ; 65:7, s. 2453-2464
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Electrical anomalies due to trapping effects in gallium nitride (GaN) power amplifiers (PAs) give rise to long-term or strong memory effects. We propose novel models based on infinite impulse response fixed pole expansion techniques for the behavioral modeling and digital predistortion of single-input single-output (SISO) and concurrent dual-band GaN PAs. Experimental results show that the proposed models outperform the corresponding finite impulse response (FIR) models by up to 17 dB for the same number of model parameters. For the linearization of a SISO GaN PA, the proposed models give adjacent channel power ratios (ACPRs) that are 7-17 dB lower than the FIR models. For the concurrent dual-band case, the proposed models give ACPRs that are 9-14 dB lower than the FIR models.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Keyword

Behavioral modeling
concurrent dual band
digital predistortion (DPD)
finite impulse response (FIR)
infinite impulse response (IIR)
power amplifiers (PAs)
radio frequency
single-input single-output (SISO)
Intelligent industri

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ref (subject category)
art (subject category)

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Amin, Shoaib
Händel, Peter
Rönnow, Daniel
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Royal Institute of Technology
University of Gävle

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