Baseband Equivalent Volterra Series for Digital Predistortion of Dual-Band Power Amplifiers

Fehri, Bilel; Boumaiza, Slim

doi:10.1109/tmtt.2014.2303944

Cited by 37 publications

(18 citation statements)

References 38 publications

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“…Among them, digital predistortion (DPD) is the most popular technique due to its excellent linearization performance and high power efficiency. DPD can compensate for the nonlinearity of a PA by making the combined characteristics of DPD and PA linear [3,4,5,6,7,8]. Recently, a DPD technique for MIMO transmitters has been proposed [9].…”

Section: Introductionmentioning

confidence: 99%

A new digital predistortion technique for analog beamforming systems

Park

Jeong

Kim

2016

IEICE Electron. Express

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A digital predistortion (DPD) technique to linearize multiple power amplifiers (PAs) in analog beamforming systems is proposed. The analog beamforming system considered in this paper has one digital chain and multiple PAs/antennas controlled by phase shifters. Due to the system configuration, a single DPD should linearize the multiple PAs. To design the DPD, this paper introduces a cost function, squares of the sum of errors for all the PAs. The DPD solution minimizing the cost function is found by a recursive least squares (RLS) algorithm. Experimental results with commercial PAs show that the proposed DPD can effectively linearize multiple PAs.

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Section: Introductionmentioning

confidence: 99%

A new digital predistortion technique for analog beamforming systems

Park

Jeong

Kim

2016

IEICE Electron. Express

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“…Numerous studies have been conducted to model for these effects [5]. The known models of nonlinear system with memory effects are mainly based on Volterra series [6] and Neural Networks (NNs) [7], or their improved forms. However, the models based on Volterra series need a large number of coefficients to complicate their practical implementation.…”

Section: Introductionmentioning

confidence: 99%

Modeling of nonlinear system based on deep learning framework

et al. 2015

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Abstract.A novel modeling based on deep learning framework which can exactly manifest the characteristics of nonlinear system is proposed in this paper. Specifically, a Deep Reconstruction are the simulated two-tone signal and actual square wave signal. The second system is a permanent magnet synchronous motor (PMSM) servo control system based on fuzzy PID control strategy. In terms of simulated and actual speed curves, BP-RBMs, DRM and ENN model are adopted on comparison respectively. It is shown by experimental results that the proposed model with fewer parameters and iteration number can reconstruct the nonlinear system accurately, and depict the memory effect, the nonlinear distortion and the dynamic performance of system precisely.

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“…For high-power, wideband applications such as UMTS and LTE, those PAs do still suffer from nonlinear distortion, so we still need some kind of linearization. In the second trick, for a given PA operating near saturation, the linearity can be improved by signal processing techniques, PA linearization [11], using techniques such as a) feedback distortion compensation [12], [13], [14], [15], [16], using closed-loop regulators to reduce the nonlinear distortion, b) feedforward distortion compensation [17], [18], [19], [20], [21], which utilizes an additional error amplifier in the forward loop to compensate for the nonlinear distortion introduced by the main PA, and c) predistortion linearization [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], which uses a stand-alone module to pre-distort the input signal to the PA, improving the linearity at PA output. Due to its high flexibility and excellent linearization performance, digital predistortion (DPD) has become one of the most preferred choice for linearizing RF PAs, and tends to be an fundamental component in current and next-generation wireless communication systems.…”

Section: Introduction or Backgroundmentioning

confidence: 99%