Digital predistortion of wideband signals based on power amplifier model with memory

Kim, J.; Κωνσταντίνου, Κωνσταντίνος

doi:10.1049/el:20010940

Cited by 803 publications

(463 citation statements)

References 4 publications

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“…To verify the performances of IMC, simulations have been performed for a two tones excitation with a difference of 2KHz to 20MHz between the carrier frequencies. Results are plotted on figure (13) in terms of carrier to third order intermodualtion ratio C/I in dBc. For the memoryless predistortion designed with the previous 2.5Mb/s 16-QAM modulation, performances are reduced and degraded at low baseband frequencies.…”

Section: Linearization Performancesmentioning

confidence: 99%

“…Other structures guided to an efficient amplification exist like LInear amplification with Nonlinear Components (LINC) [8], Combined AnalogLocked Loop Universal Modulator (CALLUM) [9], and Envelope Elimination and Restoration (EER) [10]. The predistortion technique involves the creation of an inverse characteristic complementary to the PA nonlinearity [11][12] [13]. Performances can be improved by adding a feedback control to deal with external perturbations, parameter variations or operating frequency modifications.…”

Section: Introductionmentioning

confidence: 99%

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Linearization of radio frequency amplifiers using nonlinear Internal Model Control method

Bachir

Duvanaud

2011

AEU - International Journal of Electronics and Communications

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In the present paper, the nonlinear Internal Model Control (IMC) method is introduced and applied to linearize high frequency Power Amplifiers (PAs). The IMC is based on the description of a process model and of a controller. It is shown that baseband frequency descriptions are suitable for the model and the controller. Their description parameters are derived from input and output modulation signals processed in Cartesian form. Simulation results are given to illustrate the design procedure and to demonstrate the performances of the IMC linearizer.

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Section: Linearization Performancesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Linearization of radio frequency amplifiers using nonlinear Internal Model Control method

Bachir

Duvanaud

2011

AEU - International Journal of Electronics and Communications

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“…However, PAs are inherently nonlinear components, especially when operating close to saturation for power efficiency considerations [1][2][3][4][5], which induces in-band and out-of-band distortions and thus degrades the communication performance. Behavioral modeling is crucial to predict the nonlinearity of PAs in system analysis and estimation, and it is also a key step in constructing a suitable linearizer for the communication system.…”

Section: Introductionmentioning

confidence: 99%

“…To avoid the disadvantages of the Volterra model, various modified Volterra models have been proposed. A special case of the Volterra model is the memory polynomial model proposed by Kim et al [2]. The memory polynomial model [12][13][14] is currently the most popular derivation of the Volterra model that abandoned the cross terms to alleviate the complexity.…”

Section: Introductionmentioning

confidence: 99%

Behavioral Modeling of Rf Power Amplifiers With Memory Effects Using Orthonormal Hermite Polynomial Basis Neural Network

Yuan¹,

Feng²

2013

PIER C

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Abstract-Behavioral modeling technique provides an efficient and convenient way to analyze and predict the performance of the RF power amplifiers (PAs) in system-level, and thus helps to construct a suitable predistorter to linearize the PA system. To accurately describe the nonlinear dynamic characteristics of PAs, an orthonormal Hermite polynomial basis neural network (OHPBNN) is utilized to represent the PA behavioral model, which outperforms, mainly in respect of modeling accuracy, the classic feedforward neural network using sigmoid activation functions.In addition, we apply an adaptive algorithm to determine the appropriate memory depth of PA behavioral model. Simulation results show that the proposed model provides more accurate prediction of the PAs output signal compared with classic neural network models.

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“…Various linearization techniques for PAs have been proposed in the literature. These include feedforward [1], feedback [2], linear amplification with nonlinear components [3,4], analog predistortion [5,6], digital predistortion (DPD) [7,8,9,10,11,12], and so on. In fact, DPD is frequently used because it offers great flexibility and high efficiency.…”

Section: Introductionmentioning

confidence: 99%

Digital predistortion of power amplifiers based on compound memory polynomial model

2013

IEICE Electron. Express

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Abstract:The memory polynomial (MP) model is a frequently used structure for digital predistortion (DPD) of power amplifiers (PAs) in wireless communication systems, but it has limited performance. In this paper, we propose a compound memory polynomial (CMP) model to enhance the accuracy. The CMP model is constructed by adding the terms concerning the difference of the input to the MP model. The effectiveness of the CMP model is demonstrated experimentally.

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Digital predistortion of wideband signals based on power amplifier model with memory

Cited by 803 publications

References 4 publications

Linearization of radio frequency amplifiers using nonlinear Internal Model Control method

Linearization of radio frequency amplifiers using nonlinear Internal Model Control method

Behavioral Modeling of Rf Power Amplifiers With Memory Effects Using Orthonormal Hermite Polynomial Basis Neural Network

Digital predistortion of power amplifiers based on compound memory polynomial model

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