A Robust Augmented Complexity-Reduced Generalized Memory Polynomial for Wideband RF Power Amplifiers

Liu, Youjiang; Zhou, Jie; Chen, Wenhua; Zhou, Bo

doi:10.1109/tie.2013.2270217

Cited by 76 publications

(47 citation statements)

References 22 publications

(61 reference statements)

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“…1 is composed of a Vector Signal Generator (VSG), a Vector Signal Analyzer (VSA) and a computer to download IQ data to VSG and retrieve amplifier response as IQ data from VSA to the computer. While some of researchers are using this setup with "Agilent 89600 VSA SOFTWARE" [10,11], some of researchers are preparing their own measurement setup [12][13][14][15][16].…”

Section: Base-band I/q Measurement Setupmentioning

confidence: 99%

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Effect of the Base-band Measurement Setup Errors on DPD Performance and Elimination Procedure

Yüzer

Şanlı

2017

AEM

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In this study, the effect of base-band measurement setup errors on DPD performance was investigated and a calibration procedure is developed to eliminate the measurement errors. A base-band measurement setup is prepared at laboratory with instruments and then the data which is measured and the deteriorating effect of errors on Digital Predistortion (DPD) linearization performance are investigated. In order to eliminate deteriorating effect of this error a three steps calibration procedure is developed. Before and after calibration application DPD performance is measured. It is showed both in simulation and experimentally that the calibration procedure improved the DPD system linearization performance from 10 dB to 26dB and 13dB to 20dB, respectively.

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Section: Base-band I/q Measurement Setupmentioning

confidence: 99%

“…The structure of a linearization was frequently explained in literature [10,[18][19][20][21][22][23]. Briefly, a DPD system is modeled as a black box, namely a Pre-distorter (PD) having nonlinear characteristic, which is cascade connected to the PA.…”

Section: Digital Predistortionmentioning

confidence: 99%

Effect of the Base-band Measurement Setup Errors on DPD Performance and Elimination Procedure

Yüzer

Şanlı

2017

AEM

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“…Traditional single-band digital predistortion (DPD) techniques [1][2][3][4][5][6][7][8][9] fail to compensate nonlinear distortion of dual-band PAs. On the one hand, the sampling rate requirements for hardware facilities, the analog-to-digital converter (ADC) and the digital-to-analog converter (DAC), is impractical when the output signal of dual-band PA is sampled as a full band signal.…”

Section: Introductionmentioning

confidence: 99%

A Low-Complexity Dual-Band Model for Dual-Band Power Amplifiers Based on Volterra Series

Yu¹,

Liu²,

Li³

et al. 2015

PIER Letters

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Abstract-A novel low-complexity dual-band memory polynomial (2D-LCMP) model for linearization of dual-band power amplifiers (PAs) is proposed in this paper. The in-band intermodulation (IM) and cross-band modulation (CM) distortion terms in the prior two-dimensional models have different impacts on the model performance. Therefore, they are considered respectively in the proposed model. Some redundant distortion terms are removed away to decrease the model complexity. In addition, the nonlinearity order and memory depth are frequency dependent for each band. Experimental measurements were performed on two types of wideband PAs. The results prove the superiority of the 2D-LCMP model.

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“…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. The Memory Polynomial (MP) model [13] contains the diagonal terms of Volterra series.…”

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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A Robust Augmented Complexity-Reduced Generalized Memory Polynomial for Wideband RF Power Amplifiers

Cited by 76 publications

References 22 publications

Effect of the Base-band Measurement Setup Errors on DPD Performance and Elimination Procedure

Effect of the Base-band Measurement Setup Errors on DPD Performance and Elimination Procedure

A Low-Complexity Dual-Band Model for Dual-Band Power Amplifiers Based on Volterra Series

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

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