2014 IEEE 11th International Multi-Conference on Systems, Signals &Amp; Devices (SSD14) 2014
DOI: 10.1109/ssd.2014.6808909
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Behavioral modeling and predistortion of nonlinear power amplifiers based on adaptive filtering techniques

Abstract: In this paper, the use of some of the most popular adaptive filtering algorithms for the purpose of linearizing power amplifiers by the well-known digital predistortion (DPD) technique is investigated. First, an introduction to the problem of power amplifier linearization is given, followed by a discussion of the model used for this purpose. Next, a variety of adaptive algorithms are used to construct the digital predistorter function for a highly nonlinear power amplifier and their performance is comparativel… Show more

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Cited by 3 publications
(2 citation statements)
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“…LMS algorithm [12], based on the minimum mean square error rule with steepest descent, is widely used in adaptive algorithm due to its low complexity, fast convergence and small error.The common target function is the mean square error (MSE) criterion, which is expressed as,  ( is function of n. When the state reached steady, the system is convergent. Assumed initial coefficients w (0)…”
Section: Lmsmentioning
confidence: 99%
“…LMS algorithm [12], based on the minimum mean square error rule with steepest descent, is widely used in adaptive algorithm due to its low complexity, fast convergence and small error.The common target function is the mean square error (MSE) criterion, which is expressed as,  ( is function of n. When the state reached steady, the system is convergent. Assumed initial coefficients w (0)…”
Section: Lmsmentioning
confidence: 99%
“…Adaptive DPD schemes can employ adaptive filtering algorithms that estimate the pre-distorters coefficient .Adaptation can also be performed through the use of a look-up table (LUT) [37,38]. For all adaptive algorithms, coefficients of the PD model are updated by comparison between the original excitation signal at the PDs input, and the PA output.…”
Section: Memory Model Based Digital Pre-distortionmentioning
confidence: 99%