2004
DOI: 10.1109/tvt.2004.832415
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Orthogonal Polynomials for Power Amplifier Modeling and Predistorter Design

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Cited by 286 publications
(182 citation statements)
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“…This tech nique, referred as signal predistortion (DPD) is usually performed on the baseband version of the signal and it is often based on polynomial functions [1,2,3,4,5] or look up tables (LUT) [6,7]. While liter ature mostly focuses on terrestrial applications, signal predistortion techniques are also becoming popular in satellite communications [8] partly due to the move towards amplification of multiple carriers (or multicarrier signals) in a single wideband HPA for reducing the payload mass and mission costs.…”
Section: Introductionmentioning
confidence: 99%
“…This tech nique, referred as signal predistortion (DPD) is usually performed on the baseband version of the signal and it is often based on polynomial functions [1,2,3,4,5] or look up tables (LUT) [6,7]. While liter ature mostly focuses on terrestrial applications, signal predistortion techniques are also becoming popular in satellite communications [8] partly due to the move towards amplification of multiple carriers (or multicarrier signals) in a single wideband HPA for reducing the payload mass and mission costs.…”
Section: Introductionmentioning
confidence: 99%
“…The power amplifier is the major source of nonlinearity in a communication system. To increase their efficiency, power amplifiers are sometimes driven into their nonlinear region [1], thus causing spectral regrowth, increasing bit error rate, interference to adjacent channel, and intermodulation products to be generated. In extreme these IM products can interfere with signals that are being amplifies [2].…”
Section: Introductionmentioning
confidence: 99%
“…Result of our simulation in compare with analytical expression (with or without considering frequency effect) for IM 1,3,5 (phase and amplitude) are plotted in Figures 2-4. In all figures, diagrams that frequency effect isconsidered in their a 2n+1 coefficients (blue), show better fit to simulated results (red) than the other one (green).…”
mentioning
confidence: 99%
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