A new Volterra predistorter based on the indirect learning architecture

Eun, Changsoo; Powers, E.J.

doi:10.1109/78.552219

Cited by 460 publications

(42 citation statements)

References 4 publications

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“…We consider, for the derivation, the linearization of one MIMO path. The PD coefficients are estimated using an indirect learning structure [1]. In this methodology, the MIMO-PD parameters are estimated and copied to the predistorter avoiding the inverse model estimation required by direct learning techniques.…”

Section: Mimo Predistortermentioning

confidence: 99%

“…The most simple PD structure is memoryless, where the current output depends only on the current input. In that case, the PD is described by a static nonlinear function often implemented with polynomial models [1]. In broadband OFDM implementations, however, memory effects that appear in the PA response need to be considered in the PD design.…”

Section: Introductionmentioning

confidence: 99%

“…(b) Reduced complexity: The proposed MIMO-PD, based on the indirect learning scheme [1], uses efficient recursive least squares (RLS) and stochastic gradient (SG) algorithms (when compared with [13], for example) to estimate the MIMO-PD coefficients.…”

Section: Introductionmentioning

confidence: 99%

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Power amplifier linearization technique with IQ imbalance and crosstalk compensation for broadband MIMO-OFDM transmitters

Gregorio

Cousseau

Werner

et al. 2011

EURASIP J. Adv. Signal Process.

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The design of predistortion techniques for broadband multiple input multiple output-OFDM (MIMO-OFDM) systems raises several implementation challenges. First, the large bandwidth of the OFDM signal requires the introduction of memory effects in the PD model. In addition, it is usual to consider an imbalanced in-phase and quadrature (IQ) modulator to translate the predistorted baseband signal to RF. Furthermore, the coupling effects, which occur when the MIMO paths are implemented in the same reduced size chipset, cannot be avoided in MIMO transceivers structures. This study proposes a MIMO-PD system that linearizes the power amplifier response and compensates nonlinear crosstalk and IQ imbalance effects for each branch of the multiantenna system. Efficient recursive algorithms are presented to estimate the complete MIMO-PD coefficients. The algorithms avoid the high computational complexity in previous solutions based on least squares estimation. The performance of the proposed MIMO-PD structure is validated by simulations using a two-transmitter antenna MIMO system. Error vector magnitude and adjacent channel power ratio are evaluated showing significant improvement compared with conventional MIMO-PD systems.

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Section: Mimo Predistortermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Power amplifier linearization technique with IQ imbalance and crosstalk compensation for broadband MIMO-OFDM transmitters

Gregorio

Cousseau

Werner

et al. 2011

EURASIP J. Adv. Signal Process.

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show abstract

“…Moreover, the final purpose of realizing PA linearization digital predistortion needs behavioral modeling precisely, for which Volterra series comes to light. Volterra series can accurately describe the nonlinearity of PA, but it involves a great number of coefficients [6,7] and is undesirable in practice. Therefore, Volterra-based pruning of the items [8][9][10][11][12][13][14][15][16][17] is essential to practical application.…”

Section: Introductionmentioning

confidence: 99%

An Accurate Complexity-Reduced Simplified Volterra Series for Rf Power Amplifiers

Sun¹,

Yu²,

Liu³

et al. 2014

PIER C

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Abstract-An accurate complexity-reduced simplified Volterra (ACR-SV) series is introduced for RF power amplifiers (PAs). Based on the conventional simplified Volterra (SV) series, it takes memoryless nonlinearity and memory effect into consideration separately, while connected with a nonlinear memory effect (NME) in order to increase accuracy of the model. The proposed ACR-SV model is assessed using a GaN Class-F PA driven by two modulated signals (a WCDMA 1001 signal and a single carrier 16QAM signal with 40 MHz band width). The experimental results in forward modeling and DPD application demonstrate that the proposed ACR-SV model outperforms the memory polynomial (MP) model, the augmented complexity-reduced generalized memory polynomial (ACR-GMP), and the SV model. Compared with the MP model, the ACR-SV model shows a normalized mean square error (NMSE) improvement of 2.61 dB in forward modeling, average adjacent channel power ratio (ACPR) improvement of 3.7/4.2 dB in the DPD application with less 13% number of model coefficients. In comparison with the ACR-GMP model, the ACR-SV model shows NMSE improvement of 1.39 dB, ACPR improvement of 0.7/0.6 dB with comparable number of model coefficients. In contrast with the SV model, the ACR-SV model achieves similar model accuracy, but reduces approximately 53% of coefficients.

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“…Volterra series [3,15], etc. DPD techniques including harmonic distortions need impractical sampling rate requirements for the DAC (Digital to Analog Converter) and ADC (Analog to Digital Converter).…”

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confidence: 99%

Digital Harmonic Canceling Algorithm for Power Amplifiers Based on Nonlinear Adaptive Filter

Peng¹,

Qiu²,

Mu³

2018

PIER M

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Abstract-High power amplifier not only causes in-band intermodulation but also causes out-of-band harmonic distortion. For a wideband transmitter, harmonic distortion out of communication frequency can be restrained by a radio-frequency filter, but harmonic distortion in the communication frequency is difficult restrain. In this paper, we develop harmonic memory polynomial to model harmonic distortion and then propose a digital harmonic canceling algorithm based on direct learning structure -nonlinear filtered-x affine projection algorithm (NFX-APA). Simulation and measurement results demonstrate that this novel digital canceling method can cancel harmonic effectively.

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A new Volterra predistorter based on the indirect learning architecture

Cited by 460 publications

References 4 publications

Power amplifier linearization technique with IQ imbalance and crosstalk compensation for broadband MIMO-OFDM transmitters

Power amplifier linearization technique with IQ imbalance and crosstalk compensation for broadband MIMO-OFDM transmitters

An Accurate Complexity-Reduced Simplified Volterra Series for Rf Power Amplifiers

Digital Harmonic Canceling Algorithm for Power Amplifiers Based on Nonlinear Adaptive Filter

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