Linearization of RF power amplifiers using an enhanced memory polynomial predistorter

Tafuri, Felice Francesco; Guaragnella, Cataldo; Fiore, M.; Larsen, Torben

doi:10.1109/norchp.2012.6403124

Cited by 11 publications

(8 citation statements)

References 10 publications

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“…In this work the parameter extraction was performed using the Moore-Penrose pseudo-inverse because this technique provides a more robust solution to the system and avoids instability in parameter extraction due to the eventually high condition number of the model matrix [3].…”

Section: Linearization Of Active Phased Arraymentioning

confidence: 99%

“…A solution to avoid the drastically low power efficiency in PAs using back-off is the recourse to a linearization technique. Different existing linearization methods are able to reduce the nonlinear distortions while keeping the PA as efficient as possible [3]. Digital predistortion (DPD) has been widely used for improvement of transmitter efficiency but generally on a single power amplifier and single antenna [4].…”

Section: Introductionmentioning

confidence: 99%

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Linearization Trade-Offs in a 5G mmWave Active Phased Array OTA Setup

et al. 2020

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The new generation of 5G mobile communication systems is using millimeter wave (mmWave) active phased arrays (APA) which have up to hundreds of individual analog transmitter and receiver chains and antennas. For these highly integrated systems linearization of each analog path is very challenging. Therefore a single input single output (SISO) system in combination with over the air (OTA) measurement is considered as an efficient approach for linearization. However, the knowledge about the dependency of the total SISO nonlinearity on the contributions from different blocks in the antenna array, as well as the linearization trade-offs is still missing. In this paper, an overview of the possible linearization trade-offs in an OTA setup with a mmWave APA is provided. The linearization technique is applied to a 4x4 active phased array containing up-conversion of a sub 6 GHz LTE10 signal to an RF frequency of 28 GHz. Through measurements, the effects on adjacent channel power ratio (ACPR) and error vector magnitude (EVM) have been investigated for the following scenarios: i. impact from the up-converter, ii. impact of the steering angle due to antenna crosstalk and iii. a linearity comparison between a linearized and a backed-off system. INDEX TERMS active phased array (APA), single input single output (SISO), over the air (OTA), power amplifier (PA), millimeter wave (mmWave), digital pre-distortion (DPD).

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Section: Linearization Of Active Phased Arraymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Linearization Trade-Offs in a 5G mmWave Active Phased Array OTA Setup

et al. 2020

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“…However, these models do not capture the full effect of IQI on the nonlinearity, as all the nonlinear components in the models only have linear signal indeterminate multiplied by higher order signal envelopes. Higher order signal indeterminates are included in some IQMP models [14]- [16], but they are actually the real and imaginary parts, which are real signals, of the I/Q imbalanced complex signal, such that these IQMP models lack the analyticity for nonlinearity analysis. If the signal chain has multiple nonlinear components, it is obvious that a cascade of them is still nonlinear, but how to formulate the overall nonlinearity parameters is still not found in existing literature.…”

Section: Introductionmentioning

confidence: 99%

Received Signal Modelling for Millimeter Wave and Terahertz Systems with Practical Impairments

Huang,

Zhang,

et al. 2024

IEEE Trans. Commun.

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For wideband transceivers operating at millimeter wave and terahertz frequencies, the implementation of conventional digital predistortion for nonlinearity mitigation faces significant challenges due to the limited availability and/or complexity of high-speed digital signal processing. In this paper, a simple received signal model is proposed for wideband system with nonlinearity and other practical impairments, such as transmitter (Tx) and receiver (Rx) I/Q imbalances (IQIs), carrier frequency offset (CFO), and phase noise, to enable low-complexity impairment mitigation. An expanded memory polynomial (EMP) model is firstly proposed to capture Tx IQI and the nonlinearity over the entire transceiver chain. Exploiting the CFO and a novel transmission protocol, a blind Rx IQI estimation is also proposed. The noise enhancement after Rx IQI and CFO compensation is then evaluated as a noise factor related to the mean-square-error of the Rx IQI estimation. As a result, the received signal of the wideband system is finally modelled as an EMP plus additive noises followed by a band-limited noisy receiver filter. Simulation results using a millimeter wave system with 2.5 GHz bandwidth and 73.5 GHz carrier frequency are presented to verify the accuracy of the EMP modelling and validate the theoretical analyses.

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“…Felice Francesco Tafuri, Cataldo Guaragnella, Marco Fiore, and Torben Larsen proposed a linearization by means of a new type of digital predistorter, defined directly in the I-Q do main. The enhancement of this model with addit iona I-Q terms can guarantee a more versatile co mpensation when the distortion comes from the jo int contribution of the PA and the quadrature modulator [12]. Oishi, Y. et al described a method to design a predistorter for a power amp lifier with a memo ry effect by using nonlinear parameters extracted fro m measured intermodulation distortion for a GaN-FET amplifier.…”

Section: Introductionmentioning

confidence: 99%

The Simulation Analysis of Nonlinear for a Power Amplifier with Memory Effects

Lv¹,

You²,

Liu³

2014

IJISA

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Abstract-For the nonlinear distortion problem of current power amplifiers (PAs) with memory effects, we use goal programming to present a memoryless predistorter matrix model based on limiting baseband predistortion technique, and the normalized mean squared error (NM SE) is limited in a satisfactory range while the output power is maximum. Then we propose a nonlinear power amplifier with memory effects based on back propagation neural network (BPNN) with three tapped delay nodes and six single hidden layer nodes, which is single input -dual output. Simulation results show that the method proposed in this paper makes the experimental precision higher. Further, the linearization effect of power amplifiers becomes better.

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Linearization of RF power amplifiers using an enhanced memory polynomial predistorter

Cited by 11 publications

References 10 publications

Linearization Trade-Offs in a 5G mmWave Active Phased Array OTA Setup

Linearization Trade-Offs in a 5G mmWave Active Phased Array OTA Setup

Received Signal Modelling for Millimeter Wave and Terahertz Systems with Practical Impairments

The Simulation Analysis of Nonlinear for a Power Amplifier with Memory Effects

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