Joint compensation model for memory power amplifier and frequency-dependent nonlinear IQ impairments

Zhan, Peng; Qin, Kaiyu; Cai, Shaohong

doi:10.1049/el.2011.2996

Cited by 17 publications

(10 citation statements)

References 5 publications

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“…; (d) The improved dual‐input nonlinear I/Q model proposed in Refs. , which have the same expression as Equation . The different memory depths and nonlinear orders for these models are all given in Table , where the corresponding comparison results of these different models are shown in detail.…”

Section: Simulation and Experimental Resultsmentioning

confidence: 99%

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A simplified adaptive sparse digital pre‐distorter for joint mitigation of frequency‐dependent transmitter impairments

Yao

Jin

et al. 2019

Int J RF Microw Comput Aided Eng

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The interplay between the unavoidable various nonlinearities of the direct conversion transmitter, such as local oscillator leakage, power amplifier (PA) nonlinearities, and in-phase and quadrature (I/Q) branch imbalance, and so forth will degrade the communication system performance seriously. To overcome these nonlinear interactive effects, an accurate adaptive sparse behavioral model is proposed for the joint compensation of the transmitter impairments in this article. First, a three-input nonlinear joint compensation model, which is composed of the nonlinear frequency-dependent cross terms between the I and Q branches as well as the magnitudes of the input signal, is developed.Second, to prune the redundant terms and reduce the computational complexity of the full three-input model, an efficient robust quasi-newton-based adaptive greedy algorithm is developed. To verify the performance of the proposed method, the different imperfect transmitters based on single-device GaN Class-F PA and GaN Doherty PA are used for experimental verification and analysis.Experiment results show that the proposed method can efficiently construct a sparse joint compensation model with improved modeling and distortion mitigation capability than the reported I/Q imbalance model, where nonlinear distortion and I/Q imbalance characteristics in the transmitter can be almost completely removed.

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Section: Simulation and Experimental Resultsmentioning

confidence: 99%

“…Also, the new joint compensation model for memory PA and frequency‐dependent nonlinear IQ impairments was proposed in Refs. . However, these proposed models are only the simplified form of the dual‐input model proposed in Ref.…”

Section: Introductionmentioning

confidence: 99%

A simplified adaptive sparse digital pre‐distorter for joint mitigation of frequency‐dependent transmitter impairments

Yao

Jin

et al. 2019

Int J RF Microw Comput Aided Eng

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“…The usage of a model defined directly in the I-Q components has been shown to be beneficial to model and compensate I-Q impairments generated in the quadrature modulator [7], [9]. The idea of this paper is to use such a representation to be able to predistort both QM and PA at the same time.…”

Section: B I-q Memory Polynomial Modelmentioning

confidence: 99%

“…The compensation of distortion caused by the QM is a well-known issue in the stateof-the-art and it has been showed that a Volterra model defined in the I-Q components is suitable for this task [7]. A solution for a joint compensation of PA and QM was introduced in [8], [9] with different approaches.…”

Section: Introductionmentioning

confidence: 99%

Linearization of RF power amplifiers using an enhanced memory polynomial predistorter

Tafuri

Guaragnella

Fiore³

et al. 2012

Norchip 2012

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Radio frequency power amplifiers (PAs) play a keyrole in transceivers for mobile communications and their linearity is a crucial aspect. In order to meet the linearity requirements dictated by the standard at a reasonable efficiency, the usage of a linearization technique is required. In this paper we propose a linearization by means of a new type of digital predistorter, defined directly in the I-Q domain. The architecture of the proposed predistorter can be understood as an enhancement of the memory polynomial model (MPM) by means of additional I-Q terms. The usage of the proposed predistorter allows a more robust linearization of the whole RF transmitter because the enhancement of the model with additional I-Q terms can guarantee a more versatile compensation which is beneficial when the distortion comes from the joint contribution of the PA and the quadrature modulator. The proof of concept is achieved by measurements on a commercial PA in GaN technology and the performance of the proposed predistorter is illustrated.

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“…Therefore the DPD performance is highly affected by the modulator impairments. Hence, the problem of I/Q imperfections estimation and compensation is a widely researched topic in the literatures [36][37][38][39][40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

Distortion and impairments mitigation and compensation of single‐ and multi‐band wireless transmitters (invited)

Ghannouchi

Younes

Rawat

2013

IET Microwaves, Antennas & Propagation

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Transmitter digital domain linearisation solutions are constantly evolving to extract optimum benefits in terms of cost, performance and flexibility. This study highlights the current and futuristic trends in the arena of transmitter system modelling and digital domain compensation for radio frequency distortions of non‐linear power amplifiers and wireless transmitters in case of single‐band wireless transmitter, which is further extended to a dual‐band transmitter. Indeed, the dual‐band transmitter results in severe non‐linear distortion as compared to the single‐band transmitter when operated in concurrent mode, due to the additional inter‐modulation products generated by the dual‐band transmitted signals. Hence, in addition to the intermodulation products and memory effects exhibited in a single‐band transmitter, the cross‐modulation effects of the dual‐band signals should be compensated for as well in a dual‐band transmitter. The effects of the modulator imperfections such as gain and phase imbalances, phase errors and DC offsets and their impact on the feedback loop of a digital predistortion system are also analysed. A thorough comparison between the state‐of‐the‐art behavioural models and their application to digital predistortion technique of power amplifier is presented in terms of performance and complexity. Model performance assessment is discussed through simulation and experimental results for both single‐ and dual‐band systems.

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Joint compensation model for memory power amplifier and frequency-dependent nonlinear IQ impairments

Cited by 17 publications

References 5 publications

A simplified adaptive sparse digital pre‐distorter for joint mitigation of frequency‐dependent transmitter impairments

A simplified adaptive sparse digital pre‐distorter for joint mitigation of frequency‐dependent transmitter impairments

Linearization of RF power amplifiers using an enhanced memory polynomial predistorter

Distortion and impairments mitigation and compensation of single‐ and multi‐band wireless transmitters (invited)

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