A Method for Designing Broadband Doherty Power Amplifiers

Piazzon, Luca; Giofrè, Rocco; Colantonio, Paolo; Giannini, F.

doi:10.2528/pier14011301

Cited by 12 publications

(11 citation statements)

References 30 publications

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“…In [11], the amplifier branches were designed for load impedance of 70 to improve the bandwidth of the Doherty amplifier. In another technique presented in [12] and [13], multi-line output combiners were used to improve the operational bandwidth. In [14], a quasi-lumped quarter-wave transformer, as well as a Klopfenstein taper line was used to increase the Doherty amplifier's operational bandwidth.…”

Section: Analytical Design Methodology For Genericmentioning

confidence: 99%

“…Most of the previous designs also use two or more matched amplifiers with extra circuits for power dividing and combining. In [12] and [13], a transmission line based output circuit is proposed, which provides impedance matching to both transistors and also combines the output powers from the two transistors simultaneously. The proposed output network in [12] and [13] converts a real-valued load impedance into real-valued load impedances at the transistor output terminals.…”

Section: Analytical Design Methodology For Genericmentioning

confidence: 99%

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Analytical Design Methodology for Generic Doherty Amplifier Architectures Using Three-Port Input/Output Networks

Akbarpour

Helaoui

Ghannouchi

2015

IEEE Trans. Microwave Theory Techn.

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In this paper, a new Doherty amplifier architecture along with an analytical based design methodology is proposed. The proposed architecture uses novel three-port network as the output matching/combining network (OMCN). The three-port OMCN performs the power combining for any arbitrary output power ratios from the two transistors of the Doherty amplifier. It also performs the impedance matching from any arbitrary complex load impedance to the optimum impedances for both transistors at peak output power. Commonly in Doherty amplifiers, an optimum performance at peak power and a sub-optimum performance at power back-off are often obtained. Using the proposed output network, optimum performance can be reached at power back-off, as well as at peak power. Another three-port network is proposed for input matching/dividing network (IMDN) at the input of the proposed Doherty amplifier. The three-port IMDN is designed to perform the power division with any arbitrary division ratio, adjust the arbitrary phase difference between the input signals to the two transistors, and provide the impedance matching from any arbitrary complex source impedance to the optimal source impedances for the two transistors. To verify the provided theory, two prototype amplifiers are designed and tested. A 12-W amplifier is designed for a 50source and load impedances at 1 GHz. Another 12-W amplifier is designed at 1 GHz for complex source and load impedances. Both amplifiers have efficiency of higher than 50% at 7-dB output power range.Index Terms-Back-off, Doherty amplifier, efficiency, peak-toaverage power ratio (PAPR), three-port network.

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Section: Analytical Design Methodology For Genericmentioning

confidence: 99%

Section: Analytical Design Methodology For Genericmentioning

confidence: 99%

Analytical Design Methodology for Generic Doherty Amplifier Architectures Using Three-Port Input/Output Networks

Akbarpour

Helaoui

Ghannouchi

2015

IEEE Trans. Microwave Theory Techn.

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“…This has serious consequences, especially because the PA is the circuit that consumes the largest amount of energy in the wireless communication system. Thus, a lot of effort is been pushed toward high efficiency, especially for extending the battery autonomy in handsets and relaxing the demand for heat dissipation in base-stations [4,5].…”

Section: Introductionmentioning

confidence: 99%

A Modfied Real-Valued Feed-Forward Neural Network Low-Pass Equivalent Behavioral Model for Rf Power Amplfiers

Freire¹,

França²,

Lima³

2015

PIER C

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Abstract-This work addresses the low-pass equivalent behavioral modeling of radio frequency (RF) power amplifiers (PAs) for modern wireless communication systems. Similar to a previous approach, here the PA behavioral modeling is based on two independent real-valued feed-forward artificial neural networks (ANNs). A careful analysis is first presented to show that the nonlinear training algorithm for the previous ANN-based approach can be easily trapped into local minima, especially for the ANN that estimates the polar angle component of a complex-valued signal. Then, a modified ANN-based model is proposed to eliminate the local minimum problem, in this way significantly improving the modeling accuracy. Indeed, in the proposed model the two real-valued ANNs are responsible for estimating the in-phase and quadrature components of a complex-valued base-band signal. When applied to the behavioral modeling of a GaN HEMT class AB PA, the proposed ANN-based model reduces normalized mean-square error (NMSE) by up to 2.2 dB, in comparison with the previous ANN-based model having an equal number of network parameters.

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“…Transmitters for wireless communication systems have received a lot of attention in the microwave community [1][2][3][4][5]. The requirements of high efficiency and high linearity put a lot of challenges for the design of wireless transmitters, specially the power amplifier (PA).…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, high efficiency is crucial to assuring longer time of battery autonomy in mobile devices and also to reducing the costs of heat dissipation and energy consumption in base-stations [2]. The impact of the trade-off between linearity and efficiency is further accentuated because recent wireless standards require the transmission of envelope signals having a high peak-to-average power ratio (PAPR) [3,4].…”

Section: Introductionmentioning

confidence: 99%

Low-Pass Equivalent Behavioral Modeling of Rf Power Amplifiers Using Two Independent Real-Valued Feed-Forward Neural Networks

Freire¹,

França²,

Lima³

2014

PIER C

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Abstract-Feed-forward artificial neural networks (ANNs) can provide the adequate model required for the linearization of power amplifiers (PAs) used in wireless communication systems. A common characteristic of previously available ANN-based models for linearization purposes is the use of a single real-valued ANN having two outputs. The contribution of this work is to report the benefits of performing such behavioral modeling based on two independent real-valued ANNs, where each network has a unique output. The proposed ANN-based model is applied to the behavioral modeling of a GaN HEMT class AB PA, and its accuracy is compared to previous approaches in two different scenarios. First, in case of similar number of network parameters, it is observed that the proposed ANN-based model can reduce the normalized mean-square error (NMSE) by up to 1.3 dB. Second, in a situation of comparable modeling accuracy (NMSE = −40 dB), it is observed that the proposed ANN-based model can reduce the number of network parameters by up to 40% (from 62 to 38 real-valued parameters).

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A Method for Designing Broadband Doherty Power Amplifiers

Cited by 12 publications

References 30 publications

Analytical Design Methodology for Generic Doherty Amplifier Architectures Using Three-Port Input/Output Networks

Analytical Design Methodology for Generic Doherty Amplifier Architectures Using Three-Port Input/Output Networks

A Modfied Real-Valued Feed-Forward Neural Network Low-Pass Equivalent Behavioral Model for Rf Power Amplfiers

Low-Pass Equivalent Behavioral Modeling of Rf Power Amplifiers Using Two Independent Real-Valued Feed-Forward Neural Networks

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